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Meta-optimization based multi-objective test problem generation using WFG toolkit.

, , и . CEC, стр. 2768-2775. IEEE, (2016)

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Yuki Norizoe

Yuki Sugimoto

Hanna Yuki Büchele

Monika Yuki Franz

Yuki Itani-Adams

 

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Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems., , , и . PPSN, том 8672 из Lecture Notes in Computer Science, стр. 600-610. Springer, (2014)Modified Distance Calculation in Generational Distance and Inverted Generational Distance., , , и . EMO (2), том 9019 из Lecture Notes in Computer Science, стр. 110-125. Springer, (2015)Multiobjective tree-structured parzen estimator for computationally expensive optimization problems., , , и . GECCO, стр. 533-541. ACM, (2020)Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization., , , и . SMC, стр. 745-750. IEEE, (2018)MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation., , , , , и . AAMAS, стр. 1652-1654. ACM, (2021)Multiobjective data mining from solutions by evolutionary multiobjective optimization., , и . GECCO, стр. 617-624. ACM, (2017)Preference-based NSGA-II for many-objective knapsack problems., , , и . SCIS&ISIS, стр. 637-642. IEEE, (2014)Algorithm structure optimization by choosing operators in multiobjective genetic local search., , , , и . CEC, стр. 854-861. IEEE, (2015)Meta-optimization based multi-objective test problem generation using WFG toolkit., , и . CEC, стр. 2768-2775. IEEE, (2016)Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios., , , и . CEC, стр. 1-7. IEEE, (2020)