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Item Details
| Title:
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STOCHASTIC LOCAL SEARCH
FOUNDATIONS AND APPLICATIONS |
| By: |
Holger H. Hoos, Thomas Stutzle |
| Format: |
Hardback |
| List price:
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£61.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1558608729 |
| ISBN 13: |
9781558608726 |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
16 September, 2004 |
| Series: |
The Morgan Kaufmann Series in Artificial Intelligence |
| Pages: |
658 |
| Description: |
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application. |
| Synopsis: |
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics.Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. |
| Publication: |
US |
| Imprint: |
Morgan Kaufmann Publishers In |
| Returns: |
Returnable |
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