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Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms.

, and . SSCI, page 696-703. IEEE, (2018)

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Optimal Truss-Structure Design using Real-Coded Genetic Algorithms, , and . Genetic Programming 1998: Proceedings of the Third Annual Conference, page 479--486. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks., and . Evolutionary Computation in Dynamic and Uncertain Environments, volume 51 of Studies in Computational Intelligence, Springer, (2007)Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey., , and . Expert Syst. Appl., (2017)Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results., , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 160-175. Springer, (2017)What Makes a Problem Hard for a Classifier System?, , and . IlliGAL Report No 92007. Department of General Engineering, 117 Transportation Building, 104 South Mathews Avenue, Urbana, IL 61801-2996, (1992)Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization., and . Soft Comput., 20 (6): 2367-2382 (2016)An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering., , , , and . Appl. Soft Comput., (2014)Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator., , , , , , , and . CoRR, (2018)Implicit Niching in a Learning Classifier System: Nature's Way., , and . Evol. Comput., 2 (1): 37-66 (1994)Introducing Robustness in Multi-Objective Optimization., and . Evol. Comput., 14 (4): 463-494 (2006)