Stochastic Local Search

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    Stochastic Local Search
    By: Holger H. Hoos
    Publisher:
    Morgan Kaufmann
    Print ISBN: 9781558608726, 1558608729
    eText ISBN: 9780080498249
    Pages: 658
    Copyright year: 2005
    Format: EPUB
    Available from $ 87.95 USD
    SKU 9780080498249
    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 Stützle 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
    Additional ISBNs
    9780080498249, 0080498248
     

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