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Learning in Automated Manufacturing - A Local Search Approach (Paperback, Softcover reprint of the original 1st ed. 1994) Loot Price: R1,402
Discovery Miles 14 020
Repayment Terms: R131 pm x 12*
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Learning in Automated Manufacturing - A Local Search Approach (Paperback, Softcover reprint of the original 1st ed. 1994):...

Learning in Automated Manufacturing - A Local Search Approach (Paperback, Softcover reprint of the original 1st ed. 1994)

Erwin Pesch

Series: Production and Logistics

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Loot Price R1,402 Discovery Miles 14 020 | Repayment Terms: R131 pm x 12*

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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.

General

Imprint: Physica-Verlag
Country of origin: Germany
Series: Production and Logistics
Release date: September 1994
First published: 1994
Authors: Erwin Pesch
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 257
Edition: Softcover reprint of the original 1st ed. 1994
ISBN-13: 978-3-7908-0792-9
Categories: Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Computer aided manufacture (CAM)
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-7908-0792-3
Barcode: 9783790807929

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