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Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods.

, , and . SSCI, page 2806-2813. IEEE, (2020)

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Massive Multimodality, Deception, and Genetic Algorithms., , and . PPSN, page 37-48. Elsevier, (1992)NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search., , , , , , and . CoRR, (2018)Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms., , and . Soft Comput., 16 (6): 989-1008 (2012)Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms., and . SSCI, page 696-703. IEEE, (2018)Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization., , and . SSCI, page 1188-1195. IEEE, (2018)An EA-based approach to design optimization using evidence theory., and . GECCO, page 1139-1146. ACM, (2011)Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation., and . AFSS, volume 2275 of Lecture Notes in Computer Science, page 414-420. Springer, (2002)Using semi-independent variables to enhance optimization search., , , , and . Expert Syst. Appl., (2019)A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach., and . SEAL, volume 6457 of Lecture Notes in Computer Science, page 95-104. Springer, (2010)I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool., and . PReMI, volume 3776 of Lecture Notes in Computer Science, page 690-695. Springer, (2005)