Share
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling (in English)
Schirin Bär
(Author)
·
Springer Vieweg
· Paperback
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling (in English) - Bär, Schirin
$ 52.09
$ 54.99
You save: $ 2.90
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Thursday, June 27 and
Friday, June 28.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.