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Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection.

, , , , and . CEC, page 1-8. IEEE, (2018)

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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)Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition., , , , and . Neurocomputing, (2016)Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization., , and . CEC, page 1921-1928. IEEE, (2021)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)Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D., , and . EMO (1), volume 9018 of Lecture Notes in Computer Science, page 411-425. Springer, (2015)Harmony Search for Multi-objective Optimization., , and . SBRN, page 220-225. IEEE Computer Society, (2012)A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions., , , , and . ICARIS, volume 4628 of Lecture Notes in Computer Science, page 382-394. Springer, (2007)Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm., , , , , and . Appl. Soft Comput., (2018)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)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)