Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework

Metaheuristic algorithms have been investigated intensively to address highly complex combinatorial optimization problems. However, most metaheuristic algorithms have been designed manually by researchers of different expertise without a consistent framework. This article proposes a general search f...

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Vydáno v:	IEEE transactions on evolutionary computation Ročník 27; číslo 4; s. 1072 - 1084
Hlavní autoři:	Yi, Wenjie, Qu, Rong, Jiao, Licheng, Niu, Ben
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation models Algorithms Automated algorithm design Automation Combinatorial analysis Evolutionary computation general search framework Heuristic algorithms Heuristic methods Machine learning Machine learning algorithms metaheuristic Metaheuristics Optimization Reinforcement learning Search problems Vehicle routing vehicle routing problem
ISSN:	1089-778X, 1941-0026
On-line přístup:	Získat plný text
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