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[ subject:"Stochastic programming." ]
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Stochastic local searchfoundations a...
~
Hoos, Holger H.
Stochastic local searchfoundations and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Stochastic local searchHolger H. Hoos, Thomas St�utzle.
其他題名:
foundations and applications /
作者:
Hoos, Holger H.
其他作者:
St�utzle, Thomas.
出版者:
San Francisco, CA :Morgan Kaufmann Publishers,c2005.
面頁冊數:
1 online resource (xiii, 658 p.) :ill.
標題:
Stochastic programming.
電子資源:
http://www.sciencedirect.com/science/book/9781558608726
ISBN:
9781558608726
Stochastic local searchfoundations 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:
186295
Stochastic programming.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: T57.79 / .H66 2005eb
Dewey Class. No.: 519.6
Stochastic local searchfoundations and applications /
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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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