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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

Schirin Bär

68,23 €
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Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Inteligencia artificial
ISBN:
9783658391782
68,23 €
IVA incluido
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Sobre IBD

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.

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Otros libros del autor

  • Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling
    Schirin Bär
    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. Reinforceme...
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