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Evgenii Sopov
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2020 – today
- 2022
- [j5]Vladimir Stanovov
, Shakhnaz Akhmedova
Improving the Quantum Multi-Swarm Optimization with Adaptive Differential Evolution for Dynamic Environments. Algorithms 15(5): 154 (2022) - [j4]Aleksei Vakhnin
A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems. Algorithms 15(12): 451 (2022) - 2021
- [j3]Alexey Vakhnin
Investigation of Improved Cooperative Coevolution for Large-Scale Global Optimization Problems. Algorithms 14(5): 146 (2021) - [c23]Evgenii Sopov:
Solving a Problem of the Lateral Dynamics Identification of a UAV using a Hyper-heuristic for Non-stationary Optimization. IJCCI 2021: 107-114 - 2020
- [j2]Alexey Vakhnin
Investigation of the iCC Framework Performance for Solving Constrained LSGO Problems. Algorithms 13(5): 108 (2020) - [c22]Alexey Vakhnin, Evgenii Sopov:
Large-scale clustering using decomposition-based evolutionary algorithms. SSCI 2020: 345-352
2010 – 2019
- 2019
- [c21]Evgenii Sopov, Alexey Vakhnin
Investigating the effects of population size and the number of subcomponents on the performance of SHADE algorithm with random adaptive grouping for LSGO problems. GECCO (Companion) 2019: 269-270 - [c20]Evgenii Sopov, Ilia Panfilov
Genetic Programming based Synthesis of Clustering Algorithm for Identifying Batches of Electronic Components. ICINCO (1) 2019: 202-209 - [c19]Evgenii Sopov, Alexey Vakhnin
A Decomposition-based Approach for Constrained Large-Scale Global Optimization. IJCCI 2019: 147-154 - 2018
- [c18]Alexey Vakhnin, Evgenii Sopov:
A Novel Method for Grouping Variables in Cooperative Coevolution for Large-scale Global Optimization Problems. ICINCO (1) 2018: 271-278 - [c17]Evgenii Sopov, Alexey Vakhnin
An Investigation of Parameter Tuning in the Random Adaptive Grouping Algorithm for LSGO Problems. IJCCI 2018: 255-263 - [c16]Evgenii Sopov:
Adaptive Variable-Size Random Grouping for Evolutionary Large-Scale Global Optimization. ICSI (1) 2018: 583-592 - 2017
- [c15]Evgenii Sopov:
Genetic Programming Hyper-heuristic for the Automated Synthesis of Selection Operators in Genetic Algorithms. IJCCI 2017: 231-238 - 2016
- [j1]Evgenii Sopov:
A selection hyper-heuristic with online learning for control of genetic algorithm ensemble. Int. J. Hybrid Intell. Syst. 13(2): 125-135 (2016) - [c14]Evgenii Sopov, Eugene Semenkin, Ilia Panfilov
Ensemble of Multimodal Genetic Algorithms for Design and Decision Making Support Problems. ICINCO (1) 2016: 160-167 - [c13]Evgenii Sopov:
EDA-based Decomposition Approach for Binary LSGO Problems. IJCCI (ECTA) 2016: 132-139 - [c12]Ivan Ryzhikov, Eugene Semenkin, Evgenii Sopov:
A Meta-heuristic for Improving the Performance of an Evolutionary Optimization Algorithm Applied to the Dynamic System Identification Problem. IJCCI (ECTA) 2016: 178-185 - [c11]Evgenii Sopov:
Large-Scale Global Optimization Using a Binary Genetic Algorithm with EDA-Based Decomposition. ICSI (1) 2016: 619-626 - 2015
- [c10]Maxim Sidorov, Evgenii Sopov, Ilia Ivanov, Wolfgang Minker:
Feature and Decision Level Audio-visual Data Fusion in Emotion Recognition Problem. ICINCO (2) 2015: 246-251 - [c9]Evgenii Sopov:
Multi-strategy Genetic Algorithm for Self-Configuring Solving of Complex Optimization Problems. IIAI-AAI 2015: 556-561 - [c8]Evgenii Sopov:
Multi-Strategy Genetic Algorithm for Multimodal Optimization. IJCCI (ECTA) 2015: 55-63 - [c7]Evgenii Sopov:
Self-configuring Ensemble of Multimodal Genetic Algorithms. IJCCI (Selected Papers) 2015: 56-74 - [c6]Evgenii Sopov:
A Self-configuring Multi-strategy Multimodal Genetic Algorithm. NaBIC 2015: 15-26 - [c5]Vladimir Stanovov
Multi-Strategy Multimodal Genetic Algorithm for Designing Fuzzy Rule Based Classifiers. SSCI 2015: 167-173 - [c4]Evgenii Sopov, Ilia Ivanov:
Self-Configuring Ensemble of Neural Network Classifiers for Emotion Recognition in the Intelligent Human-Machine Interaction. SSCI 2015: 1808-1815 - [c3]Evgenii Sopov:
A Self-configuring Metaheuristic for Control of Multi-Strategy Evolutionary Search. ICSI (3) 2015: 29-37 - [c2]Alexandr Zaloga, Sergey Burakov, Eugene Semenkin
On the Application of Co-Operative Swarm Optimization in the Solution of Crystal Structures from X-Ray Diffraction Data. ICSI (1) 2015: 89-96 - 2014
- [c1]Evgeny Sopov, Ilia Ivanov:
Design Efficient Technologies for Context Image Analysis in Dialog HCI Using Self-Configuring Novelty Search Genetic Algorithm. ICINCO (2) 2014: 832-839
Coauthor Index
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