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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)

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Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem., , , , , and . J. Heuristics, 24 (1): 25-47 (2018)Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm., , , , , and . Appl. Soft Comput., (2018)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)TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem., , , , and . ISDA, page 163-168. IEEE Computer Society, (2007)Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm., , , , , and . BRACIS, page 384-389. IEEE Computer Society, (2017)Adaptive Operator Selection in NSGA-III., , , , , and . BRACIS, page 181-186. IEEE Computer Society, (2016)A Hybrid Immune-Based System for the Protein Folding Problem., , and . EvoCOP, volume 4446 of Lecture Notes in Computer Science, page 13-24. Springer, (2007)Multi-objective Quadratic Assignment Problem: An Approach Using a Hyper-Heuristic Based on the Choice Function., , and . BRACIS, volume 12319 of Lecture Notes in Computer Science, page 136-150. Springer, (2020)Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization., , and . CEC, page 1921-1928. IEEE, (2021)Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition., , , , and . Neurocomputing, (2016)