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Stochastic local search = foundation...

Hoos, Holger H.{me_controlnum}

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Stochastic local search = foundations and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic local search/ Holger H. Hoos, Thomas St�utzle.
Reminder of title:	foundations and applications /
Author:	Hoos, Holger H.{me_controlnum}
other author:	St�utzle, Thomas.
Published:	San Francisco, CA :Morgan Kaufmann Publishers, : c2005.,
Description:	1 online resource (xiii, 658 p.) :ill.
[NT 15003449]:	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.
Subject:	Stochastic programming. -
Online resource:	http://www.sciencedirect.com/science/book/9781558608726
ISBN:	9781558608726

Stochastic local search = foundations and applications /
Hoos, Holger H.{me_controlnum}

Stochastic local searchfoundations 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:

647620
Stochastic programming.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: T57.79 / .H66 2005eb

Dewey Class. No.: 519.6

Stochastic local search = foundations and applications /
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037 $a 97253:97253 $b Elsevier Science & Technology $n http://www.sciencedirect.com
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050 4 $a T57.79 $b .H66 2005eb
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100 1 $a Hoos, Holger H.{me_controlnum} $3 1458511
245 1 0 $a Stochastic local search $h [electronic resource] : $b foundations and applications / $c Holger H. Hoos, Thomas St�utzle.
260 $a San Francisco, CA : $b Morgan Kaufmann Publishers, $c c2005.
300 $a 1 online resource (xiii, 658 p.) : $b ill.
504 $a Includes bibliographical references (p. 575-631) and index.
505 0 $a 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.
520 $a 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.
588 $a Description based on print version record.
650 0 $a Stochastic programming. $3 647620
650 0 $a Algorithms. $3 536374
650 0 $a Combinatorial analysis. $3 523878
650 6 $a Programmation stochastique. $3 816385
650 6 $a Algorithmes. $3 804428
650 6 $a Analyse combinatoire. $3 815858
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a St�utzle, Thomas. $3 1458512
776 0 8 $i Print version: $a Hoos, Holger H. $t Stochastic local search. $d San Francisco, CA : Morgan Kaufmann Publishers, c2005 $z 1558608729 $z 9781558608726 $w (DLC) 2004019306 $w (OCoLC)56324167
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9781558608726
994 $a C0 $b TEF