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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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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)Selection hyper-heuristics for the multi and many-objective quadratic assignment problem., , , and . Comput. Oper. Res., (2022)A Transgenetic Algorithm for the bi-objective traveling purchaser problem., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem., , , , , and . BRACIS, page 7-12. IEEE Computer Society, (2015)