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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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 27; no. 4; pp. 1072 - 1084
Main Authors:	Yi, Wenjie, Qu, Rong, Jiao, Licheng, Niu, Ben
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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