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Adaptive Operator Selection for Many-Objective Optimization with NSGA-III.

, , , , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 267-281. Springer, (2017)

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Evolução Diferencial com ensemble de Operadores de Mutação em GPGPUs para o Despacho Econômico de Energia Elétrica., , , , , and . RITA, 23 (2): 10-32 (2016)Hyper-heuristics using multi-armed bandit models for multi-objective optimization., , , , and . Appl. Soft Comput., (2020)Hyper-Heuristic Based NSGA-III for the Many-Objective Quadratic Assignment Problem., , and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 170-185. Springer, (2021)Adaptive Operator Selection in NSGA-III., , , , , and . BRACIS, page 181-186. IEEE Computer Society, (2016)Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey., and . RITA, 28 (2): 11-24 (2021)Decomposition Based Multiobjective Hyper Heuristic with Differential Evolution., , , and . ICCCI (2), volume 9330 of Lecture Notes in Computer Science, page 129-138. Springer, (2015)MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems., , , and . EMO (1), volume 9018 of Lecture Notes in Computer Science, page 94-108. Springer, (2015)ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution., , , , and . BRACIS, page 318-323. IEEE Computer Society, (2014)Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem., , , , and . BRACIS, page 139-144. IEEE Computer Society, (2018)ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm., , and . Neurocomputing, (2014)