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Localizer A modeling language for local search

  • Laurent Michel
  • Pascal Van Hentenryck
Session 4
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1330)

Abstract

Local search is a traditional technique to solve combinatorial search problems which has raised much interest in recent years. The design and implementation of local search algorithms is not an easy task in general and may require considerable experimentation and programming effort. However, contrary to global search, little support is available to assist the design and implementation of local search algorithms. This paper is an attempt to support the implementation of local search. It presents the preliminary design of LOCALIZER, a modeling language which makes it possible to express local search algorithms in a notation close to their informal descriptions in scientific papers. Experimental results on our first implementation show the feasibility of the approach.

Keywords

Local Search Modeling Language Acceptance Criterion Graph Coloring Local Search Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Laurent Michel
    • 1
  • Pascal Van Hentenryck
    • 1
  1. 1.Brown UniversityUSA

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