Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks

Due to the large volume of requests and the need to speed up the provision of services, production companies are migrating from a single service center to distributed centers. To support this migration, it is necessary to make intelligence decisions that benefit from automatic design of search algor...

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Veröffentlicht in:	Knowledge-based systems Jg. 264; S. 110309
Hauptverfasser:	Gholami, Hadi, Sun, Hongyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.03.2023
Schlagworte:	Automated algorithm design Conditional markov chain search Distributed hybrid flow shop scheduling Multiprocessor tasks Q-learning algorithm Conditional markov chain search Multiprocessor tasks Automated algorithm design Q-learning algorithm Distributed hybrid flow shop scheduling
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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