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On the importance of isolated solutions in constrained decomposition-based many-objective optimization., , и . GECCO, стр. 561-568. ACM, (2017)An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing., , , , и . Int. J. Inf. Technol. Decis. Mak., 21 (2): 541-575 (2022)A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection., , , , и . QRS, стр. 574-585. IEEE, (2021)Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach., , , , и . EuroGP, том 12691 из Lecture Notes in Computer Science, стр. 181-197. Springer, (2021)On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III., , и . Knowl. Based Syst., (2021)Evidential learning classifier system., , , и . GECCO (Companion), стр. 123-124. ACM, (2017)A bi-level evolutionary approach for the multi-label detection of smelly classes., , , , и . GECCO Companion, стр. 782-785. ACM, (2022)Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem., , , , и . CEC, стр. 1-8. IEEE, (2022)Solving many-objective problems using targeted search directions., , , и . SAC, стр. 89-96. ACM, (2016)Multi-objective Optimization: Classical and Evolutionary Approaches., , , и . Recent Advances in Evolutionary Multi-objective Optimization, том 20 из Adaptation, Learning, and Optimization, Springer, (2017)