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Learning in Automated Manufacturing: A Local Search Approach

Learning in Automated Manufacturing: A Local Search Approach

Paperback

Series: Production and Logistics

ManagementGeneral Computers

ISBN10: 3790807923
ISBN13: 9783790807929
Publisher: Springer Nature
Published: Aug 30 1994
Pages: 257
Weight: 0.85
Height: 0.57 Width: 6.14 Depth: 9.21
Language: English
The central purpose of this book is to acquaint the reader especially with the cases of local search based learning as well as to introduce methods of constraint based reasoning, both with respect to their use in automated manufacturing. We restrict our attention to job shop scheduling as well as to one-machine scheduling with sequence dependent setup times. Additionally some design and planning issues in flexible manufacturing systems are considered. General purpose search methods which in particular include methods from local search such as simulated annealing, tabu search, and genetic algorithms, are the basic ingredients of the proposed intelligent knowledge-based scheduling systems, enriched by a number of constraint-based local decision rules in order to introduce problem specific knowledge.

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General Computers