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Studying com partmental models interpolation to estimate MOEAs population size.

, , , , , and . GECCO (Companion), page 227-228. ACM, (2019)

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A study on adaptive ε-ranking and tabu moves in random one-bit climbers for many-objective optimization., , and . Int. J. Hybrid Intell. Syst., 9 (2): 75-90 (2012)An effective EA for short term evolution with small population for traffic signal optimization., , , and . SSCI, page 1-8. IEEE, (2016)Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)A Study on Multi-Objective Optimization of Epistatic Binary Problems Using Q-learning., , and . IJCCI, page 163-171. SCITEPRESS, (2023)Performance Study of a Distributed Genetic Algorithm with Parallel Cooperative-Competitive Genetic Operators., , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 85-A (9): 2083-2088 (2002)Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism., , , and . J. Adv. Comput. Intell. Intell. Informatics, 13 (4): 470-480 (2009)Mutation strategy improves GAs performance on epistatic problems., , and . IEEE Congress on Evolutionary Computation, page 968-973. IEEE, (2002)Effects of δ-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm., , and . IEEE Congress on Evolutionary Computation, page 1164-1171. IEEE, (2006)Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation., , and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 2264-2276. Springer, (2003)Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization., , and . SEAL, volume 6457 of Lecture Notes in Computer Science, page 455-465. Springer, (2010)