{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:26:34Z","timestamp":1777634794582,"version":"3.51.4"},"reference-count":183,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFA091180"],"award-info":[{"award-number":["2022YFA091180"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1016\/j.neucom.2023.126899","type":"journal-article","created":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T00:43:31Z","timestamp":1696639411000},"page":"126899","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":26,"special_numbering":"C","title":["Methods to balance the exploration and exploitation in Differential Evolution from different scales: A survey"],"prefix":"10.1016","volume":"561","author":[{"given":"Yanyun","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Guanyu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Li","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Quanyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2023.126899_b1","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.swevo.2019.04.008","article-title":"Bio-inspired computation: Where we stand and what\u2019s next","volume":"48","author":"Del Ser","year":"2019","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b2","series-title":"Handbook of Evolutionary Computation","author":"B\u00e4ck","year":"1997"},{"key":"10.1016\/j.neucom.2023.126899_b3","series-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"Bonabeau","year":"1999"},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b4","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/4235.771163","article-title":"Evolutionary programming made faster","volume":"3","author":"Yao","year":"1999","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b5","series-title":"Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms","author":"Back","year":"1996"},{"key":"10.1016\/j.neucom.2023.126899_b6","article-title":"Adaptation in natural and artificial systems : an introductory analysis with application to biology","author":"Holland","year":"1975","journal-title":"Control Artif. Intell."},{"key":"10.1016\/j.neucom.2023.126899_b7","series-title":"Genetic Programming","author":"Koza","year":"1991"},{"issue":"4","key":"10.1016\/j.neucom.2023.126899_b8","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Global Optim."},{"key":"10.1016\/j.neucom.2023.126899_b9","series-title":"Optimization, Learning and Natural Algorithms","author":"Dorigo","year":"1992"},{"key":"10.1016\/j.neucom.2023.126899_b10","series-title":"Sixth International Symposium on Micro Machine and Human Science","first-page":"39","article-title":"A new optimizer using particle swarm theory","author":"Eberhart","year":"1995"},{"key":"10.1016\/j.neucom.2023.126899_b11","series-title":"An Idea Based on Honey Bee Swarm for Numerical Optimization","author":"Karaboga","year":"2005"},{"key":"10.1016\/j.neucom.2023.126899_b12","series-title":"IEEE Congress on Evolutionary Computation","first-page":"2586","article-title":"Anarchic society optimization: a human-inspired method","author":"Ahmadi-Javid","year":"2011"},{"key":"10.1016\/j.neucom.2023.126899_b13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2016.08.001","article-title":"Modern meta-heuristics based on nonlinear physics processes: A review of models and design procedures","volume":"655","author":"Salcedo-Sanz","year":"2016","journal-title":"Phys. Rep."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b14","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","article-title":"Differential evolution algorithm with strategy adaptation for global numerical optimization","volume":"13","author":"Qin","year":"2009","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b15","series-title":"2006 IEEE International Conference on Systems, Man and Cybernetics, Vol. 3","first-page":"2322","article-title":"Solving nonlinear constrained optimization problems by the \u03f5 constrained differential evolution","author":"Takahama","year":"2006"},{"key":"10.1016\/j.neucom.2023.126899_b16","series-title":"2005 IEEE Congress on Evolutionary Computation","first-page":"443","article-title":"GDE3: the third evolution step of generalized differential evolution","author":"Kukkonen","year":"2005"},{"key":"10.1016\/j.neucom.2023.126899_b17","series-title":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","first-page":"2032","article-title":"High-dimensional real-parameter optimization using Self-Adaptive Differential Evolution algorithm with population size reduction","author":"Brest","year":"2008"},{"issue":"6","key":"10.1016\/j.neucom.2023.126899_b18","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","article-title":"Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems","volume":"10","author":"Brest","year":"2006","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b19","series-title":"IEEE Congress on Evolutionary Computation","first-page":"1","article-title":"Constrained optimization by the \u03f5 constrained differential evolution with an archive and gradient-based mutation","author":"Takahama","year":"2010"},{"key":"10.1016\/j.neucom.2023.126899_b20","series-title":"2011 IEEE Congress of Evolutionary Computation (CEC)","first-page":"1551","article-title":"Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems","author":"Reynoso-Meza","year":"2011"},{"key":"10.1016\/j.neucom.2023.126899_b21","series-title":"2013 IEEE Congress on Evolutionary Computation","first-page":"71","article-title":"Success-history based parameter adaptation for Differential Evolution","author":"Tanabe","year":"2013"},{"key":"10.1016\/j.neucom.2023.126899_b22","series-title":"2014 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1658","article-title":"Improving the search performance of SHADE using linear population size reduction","author":"Tanabe","year":"2014"},{"key":"10.1016\/j.neucom.2023.126899_b23","series-title":"2015 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1003","article-title":"A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful-parent-selecting framework on CEC 2015 benchmark set","author":"Guo","year":"2015"},{"key":"10.1016\/j.neucom.2023.126899_b24","series-title":"2016 IEEE Congress on Evolutionary Computation (CEC)","first-page":"2958","article-title":"An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems","author":"Awad","year":"2016"},{"key":"10.1016\/j.neucom.2023.126899_b25","series-title":"2017 IEEE Congress on Evolutionary Computation (CEC)","first-page":"372","article-title":"Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems","author":"Awad","year":"2017"},{"key":"10.1016\/j.neucom.2023.126899_b26","series-title":"2018 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1","article-title":"LSHADE algorithm with rank-based selective pressure strategy for solving CEC 2017 benchmark problems","author":"Stanovov","year":"2018"},{"key":"10.1016\/j.neucom.2023.126899_b27","series-title":"2019 IEEE Congress on Evolutionary Computation (CEC)","first-page":"19","article-title":"The 100-digit challenge: Algorithm jDE100","author":"Brest","year":"2019"},{"key":"10.1016\/j.neucom.2023.126899_b28","series-title":"2020 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1","article-title":"COLSHADE for real-world single-objective constrained optimization problems","author":"Gurrola-Ramos","year":"2020"},{"key":"10.1016\/j.neucom.2023.126899_b29","series-title":"2021 IEEE Congress on Evolutionary Computation (CEC)","first-page":"841","article-title":"Gaining-sharing knowledge based algorithm with adaptive parameters hybrid with IMODE algorithm for solving CEC 2021 benchmark problems","author":"Mohamed","year":"2021"},{"key":"10.1016\/j.neucom.2023.126899_b30","series-title":"2022 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1","article-title":"Eigen crossover in cooperative model of evolutionary algorithms applied to CEC 2022 single objective numerical optimisation","author":"Bujok","year":"2022"},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2480741.2480752","article-title":"Exploration and exploitation in evolutionary algorithms: A survey","volume":"45","author":"Crepinsek","year":"2013","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.neucom.2023.126899_b32","series-title":"Differential Evolution: A Practical Approach to Global Optimization","author":"Price","year":"2006"},{"key":"10.1016\/j.neucom.2023.126899_b33","series-title":"New Ideas in Optimization","first-page":"79","article-title":"An introduction to differential evolution","author":"Price","year":"1999"},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b34","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TEVC.2007.895272","article-title":"Accelerating differential evolution using an adaptive local search","volume":"12","author":"Noman","year":"2008","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2011.11.003","article-title":"Memetic algorithms and memetic computing optimization: A literature review","volume":"2","author":"Neri","year":"2012","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b36","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/j.swevo.2018.08.015","article-title":"Ensemble strategies for population-based optimization algorithms \u2013 A survey","volume":"44","author":"Wu","year":"2019","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b37","series-title":"The Design and Analysis of a Computational Model of Cooperative Coevolution","author":"Potter","year":"1997"},{"key":"10.1016\/j.neucom.2023.126899_b38","first-page":"1","article-title":"Multiple gravity assist spacecraft trajectories design based on BFS and EP_DE algorithm","volume":"2016","author":"Mingcheng","year":"2016","journal-title":"Int. J. Aerosp. Eng."},{"issue":"5","key":"10.1016\/j.neucom.2023.126899_b39","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1109\/TEVC.2005.850260","article-title":"A tutorial for competent memetic algorithms: model, taxonomy, and design issues","volume":"9","author":"Krasnogor","year":"2005","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b40","first-page":"1","article-title":"Enhanced hybrid differential evolution for earth-moon low-energy transfer trajectory optimization","volume":"2018","author":"Zhang","year":"2018","journal-title":"Int. J. Aerosp. Eng."},{"key":"10.1016\/j.neucom.2023.126899_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2019.105502","article-title":"Profit based unit commitment using memetic binary differential evolution algorithm","volume":"81","author":"Dhaliwal","year":"2019","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107387","article-title":"A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem","volume":"107","author":"Dhaliwal","year":"2021","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109105","article-title":"Memetic binary differential evolution to solve wind-thermal profit based unit commitment problem","volume":"125","author":"Dhaliwal","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b44","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.neucom.2019.01.006","article-title":"A multilevel sampling strategy based memetic differential evolution for multimodal optimization","volume":"334","year":"2019","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2023.126899_b45","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114938","article-title":"An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem","volume":"178","author":"Santucci","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b46","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108257","article-title":"Adaptive sliding mode control with hysteresis compensation-based neuroevolution for motion tracking of piezoelectric actuator","volume":"115","author":"Son","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b47","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101040","article-title":"Beyond exploitation: Measuring the impact of local search in swarm-based memetic algorithms through the interactions of individuals in the population","volume":"70","author":"Santana","year":"2022","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b48","series-title":"2022 IEEE Congress on Evolutionary Computation (CEC)","article-title":"A study on six memetic strategies for multimodal optimisation by differential evolution","author":"Neri","year":"2022"},{"key":"10.1016\/j.neucom.2023.126899_b49","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109203","article-title":"An adaptive differential evolution with extended historical memory and iterative local search","volume":"125","author":"Chen","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b50","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101245","article-title":"A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem","volume":"77","author":"Souza","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b51","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119131","article-title":"Parameter optimization of energy-efficient antenna system using period-based memetic algorithm","volume":"214","author":"Wu","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b52","article-title":"Adaptive memetic differential evolution-back propagation-fuzzy neural network algorithm for robot control","volume":"637","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b53","series-title":"International Conference on the Practice and Theory of Automated Timetabling","first-page":"176","article-title":"A hyperheuristic approach to scheduling a sales summit","author":"Stanovov","year":"2000"},{"key":"10.1016\/j.neucom.2023.126899_b54","series-title":"Studies on the Theory and Design Space of Memetic Algorithms","author":"Krasnogor","year":"2002"},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b55","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1023\/B:NACO.0000023419.83147.67","article-title":"A study on the use of \u201cself-generation\u201d in memetic algorithms","volume":"3","author":"Krasnogor","year":"2004","journal-title":"Nat. Comput."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b56","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/TSMCB.2006.883273","article-title":"Coevolving memetic algorithms: A review and progress report","volume":"37","author":"Smith","year":"2007","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"10.1016\/j.neucom.2023.126899_b57","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.ins.2021.04.093","article-title":"Adaptive memetic differential evolution with niching competition and supporting archive strategies for multimodal optimization","volume":"573","author":"Sheng","year":"2021","journal-title":"Inform. Sci."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b58","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s40747-021-00354-5","article-title":"A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem","volume":"8","author":"Zhao","year":"2022","journal-title":"Complex Intell. Syst."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b59","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1109\/TEVC.2021.3094542","article-title":"Elite archive-assisted adaptive memetic algorithm for a realistic hybrid differentiation flowshop scheduling problem","volume":"26","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b60","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.ins.2021.11.046","article-title":"Adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization","volume":"583","author":"Wang","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b61","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.neucom.2022.03.013","article-title":"A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization","volume":"489","author":"Sheng","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2023.126899_b62","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.swevo.2018.04.011","article-title":"Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey","volume":"44","author":"Ma","year":"2019","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b63","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.ins.2017.09.053","article-title":"Ensemble of differential evolution variants","volume":"423","author":"Wu","year":"2018","journal-title":"Inform. Sci."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b64","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1016\/j.ejor.2017.10.013","article-title":"Auto-selection mechanism of differential evolution algorithm variants and its application","volume":"270","author":"Fan","year":"2018","journal-title":"European J. Oper. Res."},{"key":"10.1016\/j.neucom.2023.126899_b65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2018.11.007","article-title":"A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation","volume":"44","author":"Fan","year":"2019","journal-title":"Swarm Evol. Comput."},{"issue":"4, SI","key":"10.1016\/j.neucom.2023.126899_b66","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1007\/s11047-018-9712-z","article-title":"Ensemble particle swarm optimization and differential evolution with alternative mutation method","volume":"19","author":"Wang","year":"2020","journal-title":"Nat. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b67","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.ins.2020.11.055","article-title":"L-SHADE-E: Ensemble of two differential evolution algorithms originating from L-SHADE","volume":"552","author":"Wang","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b68","article-title":"A meta-evolutionary selection of constituents in ensemble differential evolution algorithm","volume":"205","author":"Indu","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b69","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.ins.2022.06.036","article-title":"An ensemble of differential evolution and Adam for training feed-forward neural networks","volume":"608","author":"Xue","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b70","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101194","article-title":"Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning","volume":"75","author":"Tan","year":"2022","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b71","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.110214","article-title":"A knowledge transfer-based adaptive differential evolution for solving nonlinear equation systems","volume":"261","author":"Liao","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2023.126899_b72","article-title":"A review of the recent use of Differential Evolution for Large-Scale Global Optimization: An analysis of selected algorithms on the CEC 2013 LSGO benchmark suite","volume":"50","author":"Maucec","year":"2019","journal-title":"Swarm Evol. Comput."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b73","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/s10489-018-1279-y","article-title":"Surrogate model assisted cooperative coevolution for large scale optimization","volume":"49","author":"Ren","year":"2019","journal-title":"Appl. Intell."},{"issue":"9, SI","key":"10.1016\/j.neucom.2023.126899_b74","doi-asserted-by":"crossref","first-page":"7173","DOI":"10.1007\/s00521-021-06849-z","article-title":"A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism","volume":"34","author":"Zhao","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b75","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117192","article-title":"Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries","volume":"200","author":"Wang","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"10.1016\/j.neucom.2023.126899_b76","doi-asserted-by":"crossref","first-page":"4246","DOI":"10.1109\/TCYB.2020.3025577","article-title":"Contribution-based cooperative co-evolution for nonseparable large-scale problems with overlapping subcomponents","volume":"52","author":"Jia","year":"2022","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2023.126899_b77","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118834","article-title":"Dynamic hybrid mechanism-based differential evolution algorithm and its application","volume":"213","author":"Song","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b78","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2019.105496","article-title":"Self-adaptive mutation differential evolution algorithm based on particle swarm optimization","volume":"81","author":"Wang","year":"2019","journal-title":"Appl. Soft Comput."},{"issue":"15, SI","key":"10.1016\/j.neucom.2023.126899_b79","doi-asserted-by":"crossref","first-page":"11561","DOI":"10.1007\/s00500-019-04621-z","article-title":"Differential evolutionary algorithm with an evolutionary state estimation method and a two-level selection mechanism","volume":"24","author":"Li","year":"2020","journal-title":"Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b80","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106451","article-title":"A case learning-based differential evolution algorithm for global optimization of interplanetary trajectory design","volume":"94","author":"Zuo","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b81","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.114479","article-title":"A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems","volume":"169","author":"Sallam","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b82","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107470","article-title":"Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems","volume":"108","author":"Mahmud","year":"2021","journal-title":"Appl. Soft Comput."},{"issue":"7","key":"10.1016\/j.neucom.2023.126899_b83","doi-asserted-by":"crossref","first-page":"1939","DOI":"10.1007\/s10845-022-01940-1","article-title":"Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems","volume":"33","author":"Mahmud","year":"2022","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.neucom.2023.126899_b84","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.108640","article-title":"Particle swarm-differential evolution algorithm with multiple random mutation","volume":"120","author":"Lin","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b85","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.108070","article-title":"The automatic design of parameter adaptation techniques for differential evolution with genetic programming","volume":"239","author":"Stanovov","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2023.126899_b86","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101376","article-title":"A cascaded differential evolution optimization framework with adaptive population allocation and reduction","volume":"82","author":"Sun","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b87","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119327","article-title":"A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning","volume":"215","author":"Yu","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b88","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.ins.2022.11.131","article-title":"A variant of the united multi-operator evolutionary algorithms using sequential quadratic programming and improved SHADE-cnEpSin","volume":"622","author":"Hong","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b89","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.ins.2022.11.029","article-title":"An improved differential evolution by hybridizing with estimation-of-distribution algorithm","volume":"619","author":"Li","year":"2023","journal-title":"Inform. Sci."},{"issue":"10","key":"10.1016\/j.neucom.2023.126899_b90","doi-asserted-by":"crossref","first-page":"1605","DOI":"10.1016\/j.camwa.2006.07.013","article-title":"A novel population initialization method for accelerating evolutionary algorithms","volume":"53","author":"Rahnamayan","year":"2007","journal-title":"Comput. Math. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b91","series-title":"2010 3rd International Symposium on Parallel Architectures","first-page":"239","article-title":"Ude: differential evolution with uniform design","author":"Peng","year":"2010"},{"issue":"9","key":"10.1016\/j.neucom.2023.126899_b92","first-page":"4474","article-title":"Unconventional initialization methods for differential evolution","volume":"219","author":"Ali","year":"2013","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b93","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ins.2011.12.037","article-title":"Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems","volume":"193","author":"de Melo","year":"2012","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b94","series-title":"2014 IEEE Congress on Evolutionary Computation (CEC)","first-page":"2585","article-title":"A review of population initialization techniques for evolutionary algorithms","author":"Kazimipour","year":"2014"},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b95","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1007\/s11590-017-1107-z","article-title":"On the comparison of initialisation strategies in differential evolution for large scale optimisation","volume":"12","author":"Segredo","year":"2018","journal-title":"Optim. Lett."},{"key":"10.1016\/j.neucom.2023.126899_b96","series-title":"2020 IEEE Congress on Evolutionary Computation (CEC)","first-page":"1","article-title":"Differential evolution algorithm for multiple inter-dependent components traveling thief problem","author":"Ali","year":"2020"},{"key":"10.1016\/j.neucom.2023.126899_b97","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.asoc.2020.106193","article-title":"Influence of initialization on the performance of metaheuristic optimizers","volume":"91","author":"Li","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b98","doi-asserted-by":"crossref","first-page":"5149","DOI":"10.1007\/s11831-022-09759-y","article-title":"A review of the use of quasi-random number generators to initialize the population in meta-heuristic algorithms","author":"Navarro","year":"2022","journal-title":"Arch. Comput. Methods Eng."},{"issue":"12","key":"10.1016\/j.neucom.2023.126899_b99","doi-asserted-by":"crossref","first-page":"11835","DOI":"10.1016\/j.aej.2022.05.028","article-title":"Differential evolution with modified initialization scheme using chaotic oppositional based learning strategy","volume":"61","author":"Ahmad","year":"2022","journal-title":"Alex. Eng. J."},{"key":"10.1016\/j.neucom.2023.126899_b100","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2021.101010","article-title":"Differential evolution with orthogonal array -based initialization and a novel selection strategy","volume":"68","author":"Kumar","year":"2022","journal-title":"Swarm Evol. Comput."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b101","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1023\/A:1024653025686","article-title":"A trigonometric mutation operation to differential evolution","volume":"27","author":"Fan","year":"2003","journal-title":"J. Global Optim."},{"key":"10.1016\/j.neucom.2023.126899_b102","series-title":"2006 IEEE International Conference on Evolutionary Computation","first-page":"25","article-title":"Modified differential evolution for constrained optimization","author":"Mezura-Montes","year":"2006"},{"issue":"5","key":"10.1016\/j.neucom.2023.126899_b103","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","article-title":"JADE: Adaptive differential evolution with optional external archive","volume":"13","author":"Zhang","year":"2009","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b104","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1109\/TEVC.2008.2009457","article-title":"Differential evolution using a neighborhood-based mutation operator","volume":"13","author":"Das","year":"2009","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b105","series-title":"IEEE Congress on Evolutionary Computation","first-page":"1","article-title":"A new differential evolution with improved mutation strategy","author":"Bhowmik","year":"2010"},{"key":"10.1016\/j.neucom.2023.126899_b106","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.ins.2012.01.008","article-title":"Constrained optimization based on modified differential evolution algorithm","volume":"194","author":"Mohamed","year":"2012","journal-title":"Inform. Sci."},{"issue":"6","key":"10.1016\/j.neucom.2023.126899_b107","doi-asserted-by":"crossref","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","article-title":"Differential evolution with ranking-based mutation operators","volume":"43","author":"Gong","year":"2013","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2023.126899_b108","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.cie.2015.04.012","article-title":"An improved differential evolution algorithm with triangular mutation for global numerical optimization","volume":"85","author":"Mohamed","year":"2015","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.neucom.2023.126899_b109","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.swevo.2019.06.007","article-title":"Differential evolution using cooperative ranking-based mutation operators for constrained optimization","volume":"49","author":"Xu","year":"2019","journal-title":"Swarm Evol. Comput."},{"issue":"12, SI","key":"10.1016\/j.neucom.2023.126899_b110","doi-asserted-by":"crossref","first-page":"9307","DOI":"10.1007\/s00500-019-04455-9","article-title":"Triangular Gaussian mutation to differential evolution","volume":"24","author":"Guo","year":"2020","journal-title":"Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b111","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113451","article-title":"An improved differential evolution algorithm with dual mutation strategies collaboration","volume":"153","author":"Li","year":"2020","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"10.1016\/j.neucom.2023.126899_b112","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1007\/s10489-019-01613-2","article-title":"A multi-population differential evolution with best-random mutation strategy for large-scale global optimization","volume":"50","author":"Ma","year":"2020","journal-title":"Appl. Intell."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b113","first-page":"253","article-title":"Differential evolution with biological-based mutation operator","volume":"23","author":"Prabha","year":"2020","journal-title":"Eng. Sci. Technol.-Int. J.-Jestech"},{"key":"10.1016\/j.neucom.2023.126899_b114","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100816","article-title":"Differential evolution algorithm with fitness and diversity ranking-based mutation operator","volume":"61","author":"Cheng","year":"2021","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b115","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ins.2021.06.035","article-title":"TPDE: A tri-population differential evolution based on zonal-constraint stepped division mechanism and multiple adaptive guided mutation strategies","volume":"575","author":"Deng","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b116","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.ins.2021.01.031","article-title":"Hip-DE: Historical population based mutation strategy in differential evolution with parameter adaptive mechanism","volume":"562","author":"Meng","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b117","doi-asserted-by":"crossref","first-page":"13595","DOI":"10.1007\/s00500-021-06077-6","article-title":"A new mutation operator for differential evolution algorithm","volume":"25","author":"Zuo","year":"2021","journal-title":"Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b118","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116298","article-title":"Differential evolution with dynamic combination based mutation operator and two-level parameter adaptation strategy","volume":"192","author":"Deng","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"10.1016\/j.neucom.2023.126899_b119","doi-asserted-by":"crossref","first-page":"1889","DOI":"10.1007\/s00500-021-06448-z","article-title":"Cluster-centroid-based mutation strategies for Differential Evolution","volume":"26","author":"Iacca","year":"2022","journal-title":"Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b120","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119082","article-title":"A hybrid optimization algorithm and its application in flight trajectory prediction","volume":"213","author":"Zhong","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b121","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.110091","article-title":"Multiple individual guided differential evolution with time varying and feedback information-based control parameters","volume":"259","author":"Gupta","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2023.126899_b122","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101277","article-title":"Proximity ranking-based multimodal differential evolution","volume":"78","author":"Zhang","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b123","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TEVC.2023.3243109","article-title":"Process knowledge-guided autonomous evolutionary optimization for constrained multiobjective problems","author":"Zuo","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"SI","key":"10.1016\/j.neucom.2023.126899_b124","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.ins.2015.09.009","article-title":"Differential evolution with multi-population based ensemble of mutation strategies","volume":"329","author":"Wu","year":"2016","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b125","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.solener.2020.06.100","article-title":"Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution","volume":"207","author":"Liang","year":"2020","journal-title":"Sol. Energy"},{"key":"10.1016\/j.neucom.2023.126899_b126","series-title":"2020 IEEE Congress on Evolutionary Computation (CEC)","article-title":"Improved multi-operator differential evolution algorithm for solving unconstrained problems","author":"Sallam","year":"2020"},{"key":"10.1016\/j.neucom.2023.126899_b127","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106531","article-title":"High-performance differential evolution algorithm guided by information from individuals with potential","volume":"95","author":"Tian","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b128","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.future.2020.02.074","article-title":"A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems","volume":"108","author":"Sallam","year":"2020","journal-title":"Future Gener. Comput. Syst. Int. J. Escience"},{"key":"10.1016\/j.neucom.2023.126899_b129","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.113033","article-title":"Landscape-assisted multi-operator differential evolution for solving constrained optimization problems","volume":"162","author":"Sallam","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b130","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.ins.2021.07.080","article-title":"CS-DE: Cooperative Strategy based Differential Evolution with population diversity enhancement","volume":"577","author":"Meng","year":"2021","journal-title":"Inform. Sci."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b131","first-page":"1671","article-title":"Energy optimization in multi-UAV-assisted edge data collection system","volume":"69","author":"Xu","year":"2021","journal-title":"CMC-Comput. Mater. Contin."},{"key":"10.1016\/j.neucom.2023.126899_b132","series-title":"2021 IEEE Congress on Evolutionary Computation (CEC 2021)","first-page":"841","article-title":"Gaining-sharing knowledge based algorithm with adaptive parameters hybrid with IMODE algorithm for solving CEC 2021 benchmark problems","author":"Mohamed","year":"2021"},{"key":"10.1016\/j.neucom.2023.126899_b133","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107678","article-title":"Differential evolution with mixed mutation strategy based on deep reinforcement learning","volume":"111","author":"Tan","year":"2021","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b134","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.ins.2020.11.023","article-title":"Differential evolution with adaptive mutation strategy based on fitness landscape analysis","volume":"549","author":"Tan","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b135","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.104727","article-title":"A differential evolution algorithm with the guided movement for population and its application to interplanetary transfer trajectory design","volume":"110","author":"Zuo","year":"2022","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2023.126899_b136","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116342","article-title":"A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks","volume":"192","author":"Biswas","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b137","doi-asserted-by":"crossref","first-page":"3418","DOI":"10.1007\/s10489-021-02577-y","article-title":"A backtracking differential evolution with multi-mutation strategies autonomy and collaboration","volume":"52","author":"Li","year":"2022","journal-title":"Appl. Intell."},{"key":"10.1016\/j.neucom.2023.126899_b138","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.ins.2022.05.115","article-title":"Dynamic fitness landscape-based adaptive mutation strategy selection mechanism for differential evolution","volume":"607","author":"Tan","year":"2022","journal-title":"Inform. Sci."},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b139","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1016\/j.asoc.2009.02.012","article-title":"Influence of crossover on the behavior of Differential Evolution Algorithms","volume":"9","author":"Zaharie","year":"2009","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b140","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.ins.2011.09.001","article-title":"Enhancing the search ability of differential evolution through orthogonal crossover","volume":"185","author":"Wang","year":"2012","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b141","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.swevo.2012.09.004","article-title":"Empirical investigations into the exponential crossover of differential evolutions","volume":"9","author":"Zhao","year":"2013","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b142","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.asoc.2013.11.005","article-title":"Repairing the crossover rate in adaptive differential evolution","volume":"15","author":"Gong","year":"2014","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.neucom.2023.126899_b143","series-title":"Parallel Problem Solving from Nature - PPSN XIII","first-page":"201","article-title":"Reevaluating exponential crossover in differential evolution","volume":"vol. 8672","author":"Tanabe","year":"2014"},{"key":"10.1016\/j.neucom.2023.126899_b144","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.ins.2015.05.026","article-title":"Differential evolution with hybrid linkage crossover","volume":"320","author":"Cai","year":"2015","journal-title":"Inform. Sci."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b145","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/TEVC.2013.2297160","article-title":"Enhancing differential evolution utilizing eigenvector-based crossover operator","volume":"19","author":"Guo","year":"2015","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b146","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.asoc.2017.03.003","article-title":"A switched parameter differential evolution with optional blending crossover for scalable numerical optimization","volume":"57","author":"Ghosh","year":"2017","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b147","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1504\/IJBIC.2020.107486","article-title":"Variable-grouping-based exponential crossover for differential evolution algorithm","volume":"15","author":"Yang","year":"2020","journal-title":"Int. J. Bio-Inspired Comput."},{"issue":"1\u20132","key":"10.1016\/j.neucom.2023.126899_b148","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s10462-009-9137-2","article-title":"Recent advances in differential evolution: a survey and experimental analysis","volume":"33","author":"Neri","year":"2010","journal-title":"Artif. Intell. Rev."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b149","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","article-title":"Differential evolution: A survey of the state-of-the-art","volume":"15","author":"Das","year":"2011","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b150","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2016.05.003","article-title":"Review of Differential Evolution population size","volume":"32","author":"Piotrowski","year":"2017","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b151","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.swevo.2017.09.009","article-title":"Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction","volume":"39","author":"Awad","year":"2018","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b152","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.neucom.2018.02.038","article-title":"An improved multi-population ensemble differential evolution","volume":"290","author":"Tong","year":"2018","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2023.126899_b153","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2019.03.003","article-title":"A multi-role based differential evolution","volume":"50","author":"Gui","year":"2019","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b154","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.ins.2019.11.046","article-title":"Insights into the effects of control parameters and mutation strategy on self-adaptive ensemble-based differential evolution","volume":"514","author":"Wang","year":"2020","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b155","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2021.100994","article-title":"Adaptive differential evolution with ensembling operators for continuous optimization problems","volume":"69","author":"Yi","year":"2022","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b156","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.eswa.2019.01.035","article-title":"Association rule mining based parameter adaptive strategy for differential evolution algorithms","volume":"123","author":"Wang","year":"2019","journal-title":"Expert Syst. Appl."},{"issue":"10","key":"10.1016\/j.neucom.2023.126899_b157","doi-asserted-by":"crossref","first-page":"3423","DOI":"10.1007\/s00500-017-3001-0","article-title":"Adaptive differential evolution with multi-population-based mutation operators for constrained optimization","volume":"23","author":"Xu","year":"2019","journal-title":"Soft Comput."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b158","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s10462-017-9562-6","article-title":"Differential evolution algorithm with strategy adaptation and knowledge-based control parameters","volume":"51","author":"Fan","year":"2019","journal-title":"Artif. Intell. Rev."},{"issue":"12","key":"10.1016\/j.neucom.2023.126899_b159","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.1109\/TSMC.2018.2855155","article-title":"Historical and heuristic-based adaptive differential evolution","volume":"49","author":"Liu","year":"2019","journal-title":"IEEE Trans. Syst. Man Cybern.-Syst."},{"key":"10.1016\/j.neucom.2023.126899_b160","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107464","article-title":"Q-Learning-based parameter control in differential evolution for structural optimization","volume":"107","author":"Huynh","year":"2021","journal-title":"Appl. Soft Comput."},{"issue":"2","key":"10.1016\/j.neucom.2023.126899_b161","doi-asserted-by":"crossref","first-page":"993","DOI":"10.2118\/205014-PA","article-title":"Data-driven niching differential evolution with adaptive parameters control for history matching and uncertainty quantification","volume":"26","author":"Ma","year":"2021","journal-title":"SPE J."},{"issue":"4","key":"10.1016\/j.neucom.2023.126899_b162","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/TEVC.2021.3060811","article-title":"Learning adaptive differential evolution algorithm from optimization experiences by policy gradient","volume":"25","author":"Sun","year":"2021","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b163","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MCI.2022.3222057","article-title":"Controlling sequential hybrid evolutionary algorithm by Q-learning","volume":"18","author":"Zhang","year":"2023","journal-title":"IEEE Comput. Intell. Mag."},{"key":"10.1016\/j.neucom.2023.126899_b164","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.ins.2022.11.071","article-title":"A new evolving operator selector by using fitness landscape in differential evolution algorithm","volume":"624","author":"Li","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b165","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118571","article-title":"An adaptive neighborhood-based speciation differential evolution for multimodal optimization","volume":"211","author":"Xiong","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b166","doi-asserted-by":"crossref","DOI":"10.1155\/2019\/5259129","article-title":"Multiscale cooperative differential evolution algorithm","volume":"2019","author":"Du","year":"2019","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.neucom.2023.126899_b167","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.knosys.2019.01.006","article-title":"PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization","volume":"168","author":"Meng","year":"2019","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2023.126899_b168","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/s11047-021-09855-1","article-title":"Enhancing differential evolution algorithm through a population size adaptation strategy","volume":"22","author":"Zhang","year":"2021","journal-title":"Nat. Comput."},{"issue":"5","key":"10.1016\/j.neucom.2023.126899_b169","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1109\/TSMC.2017.2691304","article-title":"Energy-saving dynamic bias current control of active magnetic bearing positioning system using adaptive differential evolution","volume":"49","author":"Chen","year":"2019","journal-title":"IEEE Trans. Syst. Man Cybern.-Syst."},{"key":"10.1016\/j.neucom.2023.126899_b170","doi-asserted-by":"crossref","DOI":"10.1016\/j.enconman.2019.112443","article-title":"An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models","volume":"205","author":"Li","year":"2020","journal-title":"Energy Convers. Manage."},{"issue":"6","key":"10.1016\/j.neucom.2023.126899_b171","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1007\/s40815-020-00883-0","article-title":"An adaptive DE algorithm based fuzzy logic anti-swing controller for overhead crane systems","volume":"22","author":"Sun","year":"2020","journal-title":"Int. J. Fuzzy Syst."},{"issue":"1","key":"10.1016\/j.neucom.2023.126899_b172","first-page":"1229","article-title":"Convergence track based adaptive differential evolution algorithm (CTbADE)","volume":"72","author":"Abbas","year":"2022","journal-title":"CMC-Comput. Mater. Contin."},{"key":"10.1016\/j.neucom.2023.126899_b173","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101057","article-title":"Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution","volume":"71","author":"Ghosh","year":"2022","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b174","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.ins.2022.03.043","article-title":"Two-stage differential evolution with novel parameter control","volume":"596","author":"Meng","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b175","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1016\/j.ins.2022.06.040","article-title":"Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution","volume":"607","author":"Wang","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b176","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1016\/j.ins.2022.07.003","article-title":"Improved differential evolution algorithm based on the sawtooth-linear population size adaptive method","volume":"608","author":"Zeng","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b177","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119455","article-title":"A neighborhood information-based adaptive differential evolution for solving complex nonlinear equation system model","volume":"216","author":"Liao","year":"2023","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"10.1016\/j.neucom.2023.126899_b178","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1109\/TCYB.2019.2892735","article-title":"Reviewing and benchmarking parameter control methods in differential evolution","volume":"50","author":"Tanabe","year":"2020","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2023.126899_b179","series-title":"Proceedings of 2020 the Genetic and Evolutionary Computation Conference","first-page":"645","article-title":"Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution","author":"Tanabe","year":"2020"},{"key":"10.1016\/j.neucom.2023.126899_b180","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.ins.2021.03.016","article-title":"Biased parameter adaptation in differential evolution","volume":"566","author":"Stanovov","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.neucom.2023.126899_b181","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2020.100671","article-title":"A better balance in metaheuristic algorithms: Does it exist?","volume":"54","author":"Morales-Casta\u00f1eda","year":"2020","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.neucom.2023.126899_b182","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.114353","article-title":"A novel direct measure of exploration and exploitation based on attraction basins","volume":"167","author":"Jerebic","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2023.126899_b183","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ins.2021.11.073","article-title":"A diversity metric for population-based metaheuristic algorithms","volume":"586","author":"Osuna-Enciso","year":"2022","journal-title":"Inform. Sci."}],"updated-by":[{"DOI":"10.1016\/j.neucom.2023.127156","type":"erratum","label":"Erratum","source":"publisher","updated":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000}}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231223010226?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231223010226?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T14:29:32Z","timestamp":1706538572000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231223010226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":183,"alternative-id":["S0925231223010226"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2023.126899","relation":{"erratum":[{"id-type":"doi","id":"10.1016\/j.neucom.2023.127156","asserted-by":"object"}]},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2023,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Methods to balance the exploration and exploitation in Differential Evolution from different scales: A survey","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2023.126899","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"126899"}}