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Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization., , , , , и . Appl. Soft Comput., (2015)Massive Multimodality, Deception, and Genetic Algorithms., , и . PPSN, стр. 37-48. Elsevier, (1992)NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search., , , , , , и . CoRR, (2018)An EA-based approach to design optimization using evidence theory., и . GECCO, стр. 1139-1146. ACM, (2011)Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms., и . SSCI, стр. 696-703. IEEE, (2018)Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization., , и . SSCI, стр. 1188-1195. IEEE, (2018)Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure., , , и . EMO, том 6576 из Lecture Notes in Computer Science, стр. 358-373. Springer, (2011)Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence., и . EMO, том 1993 из Lecture Notes in Computer Science, стр. 67-81. Springer, (2001)Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization., и . EMO (1), том 9018 из Lecture Notes in Computer Science, стр. 79-93. Springer, (2015)A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results., и . EMO (1), том 9018 из Lecture Notes in Computer Science, стр. 3-18. Springer, (2015)