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Per Kristian Lehre
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- affiliation: University of Birmingham, UK
- affiliation (former): University of Nottingham, UK
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2020 – today
- 2024
- [j24]Per Kristian Lehre, Xiaoyu Qin
:
More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments. Algorithmica 86(2): 396-441 (2024) - [j23]Per Kristian Lehre:
Runtime Analysis of Competitive Co-evolutionary Algorithms for Maximin Optimisation of a Bilinear Function. Algorithmica 86(7): 2352-2392 (2024) - [c79]Alistair Benford, Markus Olhofer, Tobias Rodemann, Per Kristian Lehre:
Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. CEC 2024: 1-8 - [c78]Alistair Benford
Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games. GECCO 2024 - [c77]Duc-Cuong Dang
The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. GECCO 2024 - [c76]Mario Alejandro Hevia Fajardo
A Self-adaptive Coevolutionary Algorithm. GECCO 2024 - [c75]Per Kristian Lehre
Runtime Analysis of Population-based Evolutionary Algorithms. GECCO Companion 2024: 903-927 - [c74]Per Kristian Lehre, Shishen Lin:
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms. IJCAI 2024: 6940-6948 - [c73]Per Kristian Lehre
Overcoming Binary Adversarial Optimisation with Competitive Coevolution. PPSN (3) 2024: 117-132 - [c72]Mario Alejandro Hevia Fajardo
Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Game. PPSN (3) 2024: 213-229 - [i26]Per Kristian Lehre, Shishen Lin:
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms. CoRR abs/2405.04480 (2024) - [i25]Per Kristian Lehre, Shishen Lin:
Overcoming Binary Adversarial Optimisation with Competitive Coevolution. CoRR abs/2407.17875 (2024) - [i24]Alistair Benford, Per Kristian Lehre:
Runtime analysis of a coevolutionary algorithm on impartial combinatorial games. CoRR abs/2409.04177 (2024) - 2023
- [j22]Per Kristian Lehre, Aneta Neumann, Chao Qian:
Special Issue on Theoretical Foundations of Evolutionary Computation. Theor. Comput. Sci. 950: 113785 (2023) - [c71]Per Kristian Lehre, Shishen Lin
Is CC-(1+1) EA More Efficient than (1+1) EA on Separable and Inseparable Problems? CEC 2023: 1-9 - [c70]Mario Alejandro Hevia Fajardo
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. FOGA 2023: 73-83 - [c69]Per Kristian Lehre
Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms. FOGA 2023: 105-116 - [c68]Zimin Liang
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results. GECCO Companion 2023: 383-386 - [c67]Mario Alejandro Hevia Fajardo
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. GECCO Companion 2023: 819-822 - [c66]Per Kristian Lehre
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO 2023: 1027-1035 - [c65]Per Kristian Lehre
Runtime Analysis of Population-based Evolutionary Algorithms - Part I: Steady State EAs. GECCO Companion 2023: 1271-1300 - [c64]Mario Alejandro Hevia Fajardo
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. GECCO 2023: 1593-1601 - [c63]Per Kristian Lehre
Runtime Analysis with Variable Cost. GECCO 2023: 1611-1618 - [c62]Per Kristian Lehre
Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima. GECCO 2023: 1619-1627 - [c61]Mario Alejandro Hevia Fajardo
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. GPTP 2023: 19-44 - [i23]Zimin Liang, Miqing Li, Per Kristian Lehre:
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results. CoRR abs/2305.16870 (2023) - 2022
- [c60]Duc-Cuong Dang, Anton V. Eremeev
Fast non-elitist evolutionary algorithms with power-law ranking selection. GECCO 2022: 1372-1380 - [c59]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms. GECCO Companion 2022: 1398-1426 - [c58]Per Kristian Lehre:
Runtime analysis of competitive co-evolutionary algorithms for maximin optimisation of a bilinear function. GECCO 2022: 1408-1416 - [c57]Per Kristian Lehre, Xiaoyu Qin
Self-adaptation via multi-objectivisation: a theoretical study. GECCO 2022: 1417-1425 - [c56]Xiaoyu Qin
Self-adaptation via Multi-objectivisation: An Empirical Study. PPSN (1) 2022: 308-323 - [i22]Per Kristian Lehre:
Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function. CoRR abs/2206.15238 (2022) - 2021
- [j21]Anne Auger, Per Kristian Lehre:
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica 83(4): 903-905 (2021) - [j20]Per Kristian Lehre, Phan Trung Hai Nguyen
Runtime Analyses of the Population-Based Univariate Estimation of Distribution Algorithms on LeadingOnes. Algorithmica 83(10): 3238-3280 (2021) - [j19]Per Kristian Lehre, Carsten Witt
Tail bounds on hitting times of randomized search heuristics using variable drift analysis. Comb. Probab. Comput. 30(4): 550-569 (2021) - [c55]Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Escaping Local Optima with Non-Elitist Evolutionary Algorithms. AAAI 2021: 12275-12283 - [c54]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of evolutionary algorithms: basic introduction. GECCO Companion 2021: 399-425 - [c53]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms. GECCO Companion 2021: 856-880 - [c52]Duc-Cuong Dang, Anton V. Eremeev
Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys. GECCO 2021: 1133-1141 - [c51]Per Kristian Lehre, Xiaoyu Qin
More precise runtime analyses of non-elitist EAs in uncertain environments. GECCO 2021: 1160-1168 - 2020
- [j18]Brendan Case
Self-Adaptation in Nonelitist Evolutionary Algorithms on Discrete Problems With Unknown Structure. IEEE Trans. Evol. Comput. 24(4): 650-663 (2020) - [j17]Per Kristian Lehre
Parallel Black-Box Complexity With Tail Bounds. IEEE Trans. Evol. Comput. 24(6): 1010-1024 (2020) - [c50]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2020. GECCO Companion 2020: 458-494 - [i21]Brendan Case, Per Kristian Lehre:
Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure. CoRR abs/2004.00327 (2020)
2010 – 2019
- 2019
- [j16]Duc-Cuong Dang
Level-Based Analysis of the Univariate Marginal Distribution Algorithm. Algorithmica 81(2): 668-702 (2019) - [c49]Per Kristian Lehre, Phan Trung Hai Nguyen
On the limitations of the univariate marginal distribution algorithm to deception and where bivariate EDAs might help. FOGA 2019: 154-168 - [c48]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of evolutionary algorithms: basic introduction: introductory tutorial at GECCO 2019. GECCO (Companion) 2019: 662-693 - [c47]Per Kristian Lehre, Phan Trung Hai Nguyen
Runtime analysis of the univariate marginal distribution algorithm under low selective pressure and prior noise. GECCO 2019: 1497-1505 - [i20]Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity with Tail Bounds. CoRR abs/1902.00107 (2019) - [i19]Per Kristian Lehre, Phan Trung Hai Nguyen:
Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise. CoRR abs/1904.09239 (2019) - [i18]Per Kristian Lehre, Phan Trung Hai Nguyen:
On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help. CoRR abs/1907.12438 (2019) - [i17]Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Runtime Analysis of Fitness-Proportionate Selection on Linear Functions. CoRR abs/1908.08686 (2019) - 2018
- [j15]Duc-Cuong Dang
Escaping Local Optima Using Crossover With Emergent Diversity. IEEE Trans. Evol. Comput. 22(3): 484-497 (2018) - [j14]Dogan Corus
Level-Based Analysis of Genetic Algorithms and Other Search Processes. IEEE Trans. Evol. Comput. 22(5): 707-719 (2018) - [c46]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of evolutionary algorithms: basic introduction. GECCO (Companion) 2018: 448-468 - [c45]Per Kristian Lehre, Phan Trung Hai Nguyen
Level-Based Analysis of the Population-Based Incremental Learning Algorithm. PPSN (2) 2018: 105-116 - [c44]Gisele Lobo Pappa, Michael T. M. Emmerich
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [r1]Per Kristian Lehre, Pietro S. Oliveto:
Theoretical Analysis of Stochastic Search Algorithms. Handbook of Heuristics 2018: 849-884 - [i16]Per Kristian Lehre, Phan Trung Hai Nguyen:
Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via Anti-Concentration. CoRR abs/1802.00721 (2018) - [i15]Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Population-Based Incremental Learning Algorithm. CoRR abs/1806.01710 (2018) - [i14]Duc-Cuong Dang, Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Univariate Marginal Distribution Algorithm. CoRR abs/1807.10038 (2018) - 2017
- [j13]Duc-Cuong Dang
Populations Can Be Essential in Tracking Dynamic Optima. Algorithmica 78(2): 660-680 (2017) - [c43]Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017. GECCO (Companion) 2017: 414-434 - [c42]Per Kristian Lehre, Phan Trung Hai Nguyen
Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration. GECCO 2017: 1383-1390 - [i13]Per Kristian Lehre, Pietro S. Oliveto:
Theoretical Analysis of Stochastic Search Algorithms. CoRR abs/1709.00890 (2017) - 2016
- [j12]Duc-Cuong Dang, Per Kristian Lehre:
Runtime Analysis of Non-elitist Populations: From Classical Optimisation to Partial Information. Algorithmica 75(3): 428-461 (2016) - [j11]Dogan Corus
A Parameterised Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms. Evol. Comput. 24(1): 183-203 (2016) - [c41]Fawaz Alanazi, Per Kristian Lehre:
Limits to Learning in Reinforcement Learning Hyper-heuristics. EvoCOP 2016: 170-185 - [c40]Per Kristian Lehre, Pietro S. Oliveto
Runtime Analysis of Population-based Evolutionary Algorithms. GECCO (Companion) 2016: 435-462 - [c39]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto
Escaping Local Optima with Diversity Mechanisms and Crossover. GECCO 2016: 645-652 - [c38]Duc-Cuong Dang, Per Kristian Lehre:
Self-adaptation of Mutation Rates in Non-elitist Populations. PPSN 2016: 803-813 - [c37]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. PPSN 2016: 890-900 - [c36]Carola Doerr
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - [i12]Duc-Cuong Dang, Per Kristian Lehre:
Self-adaptation of Mutation Rates in Non-elitist Populations. CoRR abs/1606.05551 (2016) - [i11]Duc-Cuong Dang, Thomas Jansen, Per Kristian Lehre:
Populations can be essential in tracking dynamic optima. CoRR abs/1607.03317 (2016) - [i10]Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton:
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity. CoRR abs/1608.03123 (2016) - [i9]Nick Barton, Per Kristian Lehre, Nisheeth K. Vishnoi:
Evolution and Computing (Dagstuhl Seminar 16011). Dagstuhl Reports 6(1): 1-14 (2016) - 2015
- [c35]Golnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt:
Black-box Complexity of Parallel Search with Distributed Populations. FOGA 2015: 3-15 - [c34]Duc-Cuong Dang, Per Kristian Lehre:
Efficient Optimisation of Noisy Fitness Functions with Population-based Evolutionary Algorithms. FOGA 2015: 62-68 - [c33]Per Kristian Lehre, Pietro S. Oliveto
Runtime Analysis of Evolutionary Algorithms: Basic Introduction. GECCO (Companion) 2015: 121-136 - [c32]Duc-Cuong Dang, Per Kristian Lehre:
Simplified Runtime Analysis of Estimation of Distribution Algorithms. GECCO 2015: 513-518 - [c31]Duc-Cuong Dang, Thomas Jansen
Populations can be Essential in Dynamic Optimisation. GECCO 2015: 1407-1414 - [i8]Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Level-Based Analysis of Genetic Algorithms for Combinatorial Optimization. CoRR abs/1512.02047 (2015) - 2014
- [j10]Per Kristian Lehre
Runtime analysis of the (1 + 1) EA on computing unique input output sequences. Inf. Sci. 259: 510-531 (2014) - [j9]Frank Neumann
Editorial for the Special Issue on Theoretical Foundations of Evolutionary Computation. IEEE Trans. Evol. Comput. 18(5): 625-627 (2014) - [c30]Fawaz Alanazi, Per Kristian Lehre:
Runtime analysis of selection hyper-heuristics with classical learning mechanisms. IEEE Congress on Evolutionary Computation 2014: 2515-2523 - [c29]Per Kristian Lehre, Pietro S. Oliveto
Runtime analysis of evolutionary algorithms: basic introduction. GECCO (Companion) 2014: 459-486 - [c28]Duc-Cuong Dang, Per Kristian Lehre:
Evolution under partial information. GECCO 2014: 1359-1366 - [c27]Duc-Cuong Dang, Per Kristian Lehre:
Refined upper bounds on the expected runtime of non-elitist populations from fitness-levels. GECCO 2014: 1367-1374 - [c26]Per Kristian Lehre, Carsten Witt
Concentrated Hitting Times of Randomized Search Heuristics with Variable Drift. ISAAC 2014: 686-697 - [c25]Golnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt:
Unbiased Black-Box Complexity of Parallel Search. PPSN 2014: 892-901 - [c24]Dogan Corus
Level-Based Analysis of Genetic Algorithms and Other Search Processes. PPSN 2014: 912-921 - [i7]Dogan Corus, Per Kristian Lehre, Frank Neumann, Mojgan Pourhassan:
A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms. CoRR abs/1401.1905 (2014) - [i6]Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Level-based Analysis of Genetic Algorithms and other Search Processes. CoRR abs/1407.7663 (2014) - 2013
- [c23]Per Kristian Lehre, Ender Özcan
A runtime analysis of simple hyper-heuristics: to mix or not to mix operators. FOGA 2013: 97-104 - [c22]Per Kristian Lehre, Pietro S. Oliveto
Runtime analysis of evolutionary algorithms: basic introduction. GECCO (Companion) 2013: 469-498 - [c21]Dogan Corus
The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation. GECCO 2013: 519-526 - [i5]Per Kristian Lehre, Carsten Witt:
General Drift Analysis with Tail Bounds. CoRR abs/1307.2559 (2013) - 2012
- [j8]Per Kristian Lehre
Black-Box Search by Unbiased Variation. Algorithmica 64(4): 623-642 (2012) - [j7]Per Kristian Lehre
Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation". Theor. Comput. Sci. 425: 2-3 (2012) - [j6]Per Kristian Lehre
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms. IEEE Trans. Evol. Comput. 16(2): 225-241 (2012) - [c20]Per Kristian Lehre
Drift analysis. GECCO (Companion) 2012: 1239-1258 - 2011
- [j5]Per Kristian Lehre
Crossover can be constructive when computing unique input-output sequences. Soft Comput. 15(9): 1675-1687 (2011) - [c19]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre
Faster black-box algorithms through higher arity operators. FOGA 2011: 163-172 - [c18]Stephan Cathabard, Per Kristian Lehre
Non-uniform mutation rates for problems with unknown solution lengths. FOGA 2011: 173-180 - [c17]Per Kristian Lehre
Fitness-levels for non-elitist populations. GECCO 2011: 2075-2082 - [i4]Per Kristian Lehre, Carsten Witt:
Finite First Hitting Time versus Stochastic Convergence in Particle Swarm Optimisation. CoRR abs/1105.5540 (2011) - 2010
- [j4]Oliver Giel, Per Kristian Lehre
On the Effect of Populations in Evolutionary Multi-Objective Optimisation. Evol. Comput. 18(3): 335-356 (2010) - [c16]Timo Kötzing, Per Kristian Lehre
Ant colony optimization and the minimum cut problem. GECCO 2010: 1393-1400 - [c15]Per Kristian Lehre
Black-box search by unbiased variation. GECCO 2010: 1441-1448 - [c14]Stefan Kratsch, Per Kristian Lehre
Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation. PPSN (1) 2010: 204-213 - [c13]Per Kristian Lehre
Negative Drift in Populations. PPSN (1) 2010: 244-253 - [i3]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen:
Faster Black-Box Algorithms Through Higher Arity Operators. CoRR abs/1012.0952 (2010) - [i2]Per Kristian Lehre, Xin Yao:
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms. CoRR abs/1012.3098 (2010) - [i1]Per Kristian Lehre, Carsten Witt:
Black-Box Search by Unbiased Variation. Electron. Colloquium Comput. Complex. TR10 (2010)
2000 – 2009
- 2009
- [j3]Per Kristian Lehre
Runtime analysis of search heuristics on software engineering problems. Frontiers Comput. Sci. China 3(1): 64-72 (2009) - [c12]Pietro S. Oliveto
Theoretical analysis of rank-based mutation - combining exploration and exploitation. IEEE Congress on Evolutionary Computation 2009: 1455-1462 - [c11]Tianshi Chen, Per Kristian Lehre
When is an estimation of distribution algorithm better than an evolutionary algorithm? IEEE Congress on Evolutionary Computation 2009: 1470-1477 - [c10]Per Kristian Lehre
On the impact of the mutation-selection balance on the runtime of evolutionary algorithms. FOGA 2009: 47-58 - [c9]Philipp Rohlfshagen, Per Kristian Lehre
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change. GECCO 2009: 1713-1720 - 2008
- [c8]Andrea Arcuri, Per Kristian Lehre
Theoretical Runtime Analyses of Search Algorithms on the Test Data Generation for the Triangle Classification Problem. ICST Workshops 2008: 161-169 - [c7]Per Kristian Lehre
Crossover Can Be Constructive When Computing Unique Input Output Sequences. SEAL 2008: 595-604 - 2007
- [j2]Morten Hartmann, Pauline C. Haddow, Per Kristian Lehre
The genotypic complexity of evolved fault-tolerant and noise-robust circuits. Biosyst. 87(2-3): 224-232 (2007) - [j1]Per Kristian Lehre
Phenotypic complexity and local variations in neutral degree. Biosyst. 87(2-3): 233-242 (2007) - [c6]Per Kristian Lehre
Runtime analysis of (1+l) EA on computing unique input output sequences. IEEE Congress on Evolutionary Computation 2007: 1882-1889 - 2006
- [c5]Oliver Giel, Per Kristian Lehre
On the effect of populations in evolutionary multi-objective optimization. GECCO 2006: 651-658 - [c4]Per Kristian Lehre
Accessibility and Runtime Between Convex Neutral Networks. SEAL 2006: 734-741 - 2005
- [c3]Per Kristian Lehre, Pauline C. Haddow:
Accessibility between neutral networks in indirect genotype-phenotype mappings. Congress on Evolutionary Computation 2005: 419-426 - [c2]Morten Hartmann, Per Kristian Lehre
Evolved Digital Circuits and Genome Complexity. Evolvable Hardware 2005: 79-86 - 2003
- [c1]Per Kristian Lehre, Pauline C. Haddow:
Developmental mappings and phenotypic complexity. IEEE Congress on Evolutionary Computation 2003: 62-68
Coauthor Index
Pietro S. Oliveto
aka: Pietro Simone Oliveto
aka: Pietro Simone Oliveto
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