Recent publications
Article
Lehre, PK 2024, 'Runtime Analysis of Competitive Co-evolutionary Algorithms for Maximin Optimisation of a Bilinear Function', Algorithmica. https://doi.org/10.1007/s00453-024-01218-3
Lehre, PK & Qin, X 2022, 'More precise runtime analyses of non-elitist evolutionary algorithms in uncertain environments', Algorithmica. https://doi.org/10.1007/s00453-022-01044-5
Chapter
Hevia Fajardo, M, Lehre, PK, Toutouh, J, Hemberg, E & O'Reilly, U-M 2024, Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. in S Winkler, L Trujillo, C Ofria & T Hu (eds), Genetic Programming Theory and Practice XX. 1 edn, Genetic and Evolutionary Computation, Springer Singapore, pp. 19-44. https://doi.org/10.1007/978-981-99-8413-8_2
Conference contribution
Benford, A, Olhofer, M, Rodemann, T & Lehre, PK 2024, Bicriteria optimisation of average and worst-case performance using coevolutionary algorithms. in 2024 IEEE Congress on Evolutionary Computation (CEC). Congress on Evolutionary Computation, IEEE, IEEE Congress on Evolutionary Computation (IEEE CEC) 2024, Yokohama, Japan, 30/06/24.
Benford, A & Lehre, PK 2024, Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games. in GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Victoria, Australia, 14/07/24.
Lehre, PK, Fajardo, MH, Toutouh, J, Hemberg, E & O'Reilly, U-M 2023, Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. in GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 1027-1035, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583131.3590411
Hevia Fajardo, M & Lehre, PK 2023, How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. in GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 1593-1601, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583131.3590506
Liang, Z, Li, M & Lehre, PK 2023, Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 383-386, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3590646
Hevia Fajardo, M, Lehre, PK & Lin, S 2023, Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. in FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA: Foundations of Genetic Algorithms, Association for Computing Machinery (ACM), pp. 73–83, Foundations of Genetic Algorithms XVII, Potsdam, Germany, 30/08/23. https://doi.org/10.1145/3594805.3607132
Hevia Fajardo, M, Lehre, PK & Lin, S 2023, Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 819–822, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3590701
Lehre, PK & Qin, X 2023, Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima. in GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 1619–1627, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583131.3590494
Lehre, PK & Qin, X 2023, Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms. in FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery (ACM), pp. 105-116, Foundations of Genetic Algorithms XVII, Potsdam, Germany, 30/08/23. https://doi.org/10.1145/3594805.3607128
Dang, D-C, Eremeev, A, Lehre, PK & Qin, X 2022, Fast non-elitist evolutionary algorithms with power-law ranking selection. in JE Fieldsend (ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 1372-1380, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528873
Lehre, PK 2022, Runtime analysis of competitive co-evolutionary algorithms for maximin optimisation of a bilinear function. in JE Fieldsend (ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 1408–1416, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528853
Lehre, PK & Qin, X 2022, Self-adaptation via multi-objectivisation: a theoretical study. in JE Fieldsend (ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 1417-1425, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528836
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