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On the use of (1, λ )-evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis.

, , и . Nat. Comput., 20 (3): 345-361 (2021)

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Stratégies d'exploration de paysages de fitness : application à la résolution approchée de problèmes d'optimisation combinatoire. (Fitness landscape exploration strategies : application of combinatorial optimization problems to the approximate solution of combinatorial optimization problems).. University of Angers, France, (2019)Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data., , , , , и . CEC, стр. 1-8. IEEE, (2020)On the use of (1, λ )-evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis., , и . Nat. Comput., 20 (3): 345-361 (2021)Local search pivoting rules and the landscape global structure., и . GECCO, стр. 278-286. ACM, (2021)Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm., , , , и . LION, том 12096 из Lecture Notes in Computer Science, стр. 151-157. Springer, (2020)On the Global Structure of PUBOi Fitness Landscapes., , , и . GECCO Companion, стр. 247-250. ACM, (2023)PUBOi: A Tunable Benchmark with Variable Importance., , и . EvoCOP, том 13222 из Lecture Notes in Computer Science, стр. 175-190. Springer, (2022)Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification., , , , и . PPSN (1), том 12269 из Lecture Notes in Computer Science, стр. 65-77. Springer, (2020)MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization., , и . CEC, стр. 1-8. IEEE, (2024)