Automated algorithm design using proximal policy optimisation with identified features

Automated algorithm design is attracting considerable recent research attention in solving complex combinatorial optimisation problems, due to that most metaheuristics may be particularly effective at certain problems or certain instances of the same problem but perform poorly at others. Within a ge...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 216; p. 119461
Main Authors:	Yi, Wenjie, Qu, Rong, Jiao, Licheng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.04.2023
Subjects:	Automated algorithm design Feature identification Reinforcement learning Search pattern Vehicle routing problem Feature identification Search pattern Automated algorithm design Vehicle routing problem Reinforcement learning
ISSN:	0957-4174
Online Access:	Get full text
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