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Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

von Schirin Bär
Softcover - 9783658391782
53,49 €
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Beschreibung

The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.

Details

Verlag Springer Fachmedien Wiesbaden GmbH
Ersterscheinung 02. Oktober 2022
Maße 21 cm x 14.8 cm
Gewicht 231 Gramm
Format Softcover
ISBN-13 9783658391782
Auflage 1st ed. 2022
Seiten 148