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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Vydané v:	Expert systems with applications Ročník 216; s. 119461
Hlavní autori:	Yi, Wenjie, Qu, Rong, Jiao, Licheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.04.2023
Predmet:	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
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