Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Released on by Thomas Stützle
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  • Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics Book Detail

  • Author : Thomas Stützle
  • Release Date : 2007-08-22
  • Publisher : Springer
  • Genre : Computers
  • Pages : 232
  • ISBN 13 : 3540744460
  • File Size : 14,14 MB
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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics by Thomas Stützle PDF Summary

Book Description: This volume constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms. Inside the volume, readers will find twelve full papers as well as nine short papers. Topics include methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures, AI/OR techniques, and dynamic behavior.

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Stochastic Local Search

Stochastic Local Search

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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