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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Veröffentlicht in:	Expert systems with applications Jg. 216; S. 119461
Hauptverfasser:	Yi, Wenjie, Qu, Rong, Jiao, Licheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.04.2023
Schlagworte:	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-Zugang:	Volltext
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