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A MOPSO based on hyper-heuristic to optimize many-objective problems.

, and . SIS, page 251-258. IEEE, (2014)

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Chameleon: a Generic Tool for Genetic Programming, , , and . III Encontro Nacional de Inteligencia Artificial, Fortaleza, CE, Brasil, (2001)I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization., and . SBRN, page 166-171. IEEE Computer Society, (2012)Evolving convolutional neural networks through grammatical evolution., and . GECCO (Companion), page 179-180. ACM, (2019)Determining Integration and Test Orders in the Presence of Modularization Restrictions., , , and . SBES, page 31-40. IEEE Computer Society, (2013)An Empirical Study of Time Series Forecasting Using Boosting Technique with Correlation Coefficient., , , and . ISDA, page 807-812. IEEE Computer Society, (2007)Optimization of the AUC Criterion for Rule Subset Selection., and . ISDA, page 497-502. IEEE Computer Society, (2007)Non-Ordered Data Mining Rules Through Multi-Objective Particle Swarm Optimization: Dealing with Numeric and Discrete Attributes., and . HIS, page 495-500. IEEE Computer Society, (2008)Automated design of hyper-heuristics components to solve the PSP problem with HP model., , and . CEC, page 1848-1855. IEEE, (2017)Bio-inspired event dissemination in dynamic and decentralized networks., , and . GECCO (Companion), page 223-224. ACM, (2011)Capturing Relationships in Multi-objective Optimization., , , and . BRACIS, page 222-227. IEEE Computer Society, (2015)