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Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume., и . IEEE Trans. Evol. Comput., 24 (5): 896-907 (2020)Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression., , , , и . GECCO, стр. 641-648. ACM, (2017)Local Search Move Strategies within MOEA/D., , , , и . GECCO (Companion), стр. 73-74. ACM, (2016)A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics., и . CoRR, (2017)Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search., , , , и . CoRR, (2018)A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization., , и . UKCI, том 650 из Advances in Intelligent Systems and Computing, стр. 145-156. Springer, (2017)On the discrete-time dynamics of a PCA learning algorithm.. Neurocomputing, 55 (3-4): 761-769 (2003)A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems., и . GrC, стр. 534-537. IEEE, (2008)Self-Guided Genetic Algorithm., , и . ICIC (2), том 5227 из Lecture Notes in Computer Science, стр. 292-299. Springer, (2008)Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem., , и . IEEE Trans. Cybern., 44 (3): 429-444 (2014)