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Stochastic local search = foundation...
~
St�utzle, Thomas.
Stochastic local search = foundations and applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Stochastic local search/ Holger H. Hoos, Thomas St�utzle.
Reminder of title:
foundations and applications /
Author:
Hoos, Holger H.
other author:
St�utzle, Thomas.
Published:
San Francisco, CA :Morgan Kaufmann Publishers, : c2005.,
Description:
1 online resource (xiii, 658 p.) :ill. :
Subject:
Stochastic programming. -
Online resource:
http://www.sciencedirect.com/science/book/9781558608726
ISBN:
9781558608726
Stochastic local search = foundations and applications /
Hoos, Holger H.
Stochastic local search
foundations and applications /[electronic resource] :Holger H. Hoos, Thomas St�utzle. - San Francisco, CA :Morgan Kaufmann Publishers,c2005. - 1 online resource (xiii, 658 p.) :ill.
Includes bibliographical references (p. 575-631) and index.
SLS methods -- Generalised local search machines -- Empirical analysis of SLS algorithms -- Search space structure and SLS performance -- Propositional satisfiability and constraint satisfaction -- MAX-SAT and MAX-CSP -- Travelling salesman problems -- Scheduling problems -- Other combinatorial problems.
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 St�utzle 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. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms.
ISBN: 9781558608726
Source: 97253:97253Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
528534
Stochastic programming.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: T57.79 / .H66 2005eb
Dewey Class. No.: 519.6
Stochastic local search = foundations and applications /
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Morgan Kaufmann Publishers,
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ill.
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Includes bibliographical references (p. 575-631) and index.
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SLS methods -- Generalised local search machines -- Empirical analysis of SLS algorithms -- Search space structure and SLS performance -- Propositional satisfiability and constraint satisfaction -- MAX-SAT and MAX-CSP -- Travelling salesman problems -- Scheduling problems -- Other combinatorial problems.
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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 St�utzle 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. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms.
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Description based on print version record.
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Stochastic programming.
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