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Stochastic local search : foundations and applications /

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 algo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hoos, Holger H.
Otros Autores: St�utzle, Thomas
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco, CA : Morgan Kaufmann Publishers, �2005.
Colección:Morgan Kaufmann Series in Artificial Intelligence Ser.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Hoos, Holger H. 
245 1 0 |a Stochastic local search :  |b foundations and applications /  |c Holger H. Hoos, Thomas St�utzle. 
260 |a San Francisco, CA :  |b Morgan Kaufmann Publishers,  |c �2005. 
300 |a 1 online resource (xiii, 658 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a The Morgan Kaufmann Series in Artificial Intelligence Ser. 
504 |a Includes bibliographical references (pages 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. 
588 0 |a Print version record. 
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. 
546 |a English. 
650 0 |a Stochastic programming. 
650 0 |a Algorithms. 
650 0 |a Combinatorial analysis. 
650 0 |a Computer algorithms. 
650 2 |a Algorithms  |0 (DNLM)D000465 
650 6 |a Programmation stochastique.  |0 (CaQQLa)201-0067696 
650 6 |a Algorithmes.  |0 (CaQQLa)201-0001230 
650 6 |a Analyse combinatoire.  |0 (CaQQLa)201-0024152 
650 7 |a algorithms.  |2 aat  |0 (CStmoGRI)aat300065585 
650 7 |a MATHEMATICS  |x Optimization.  |2 bisacsh 
650 7 |a Computer algorithms  |2 fast  |0 (OCoLC)fst00872010 
650 7 |a Algorithms  |2 fast  |0 (OCoLC)fst00805020 
650 7 |a Combinatorial analysis  |2 fast  |0 (OCoLC)fst00868961 
650 7 |a Stochastic programming  |2 fast  |0 (OCoLC)fst01133530 
650 7 |a Combinat�oria.  |2 larpcal 
650 7 |a Otimiza�c�ao combinat�oria.  |2 larpcal 
650 7 |a Intelig�encia artificial.  |2 larpcal 
650 7 |a Heur�istica.  |2 larpcal 
700 1 |a St�utzle, Thomas. 
776 0 8 |i Print version:  |a Hoos, Holger H.  |t Stochastic local search.  |d San Francisco, CA : Morgan Kaufmann Publishers, �2005  |z 1558608729  |z 9781558608726  |w (DLC) 2004019306  |w (OCoLC)56324167 
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