Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance

In this paper, we introduce a multi-objective selection hyper-heuristic approach combining Reinforcement Learning, (meta)heuristic selection, and group decision-making as acceptance methods, referred to as Hyper-Heuristic based on Reinforcement LearnIng, Balanced Heuristic Selection and Group Decisi...

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Vydáno v:	Applied soft computing Ročník 97; s. 106760
Hlavní autoři:	Santiago Júnior, Valdivino Alexandre de, Özcan, Ender, Carvalho, Vinicius Renan de
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2020
Témata:	Balanced heuristic selection Group decision-making Hyper-heuristic Multi-objective evolutionary algorithms Multi-objective optimisation Reinforcement learning Balanced heuristic selection Group decision-making Multi-objective evolutionary algorithms Reinforcement learning Hyper-heuristic Multi-objective optimisation
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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