Solving Constraint Optimization Problems in Anytime Contexts

نویسندگان

  • Samir Loudni
  • Patrice Boizumault
چکیده

This paper presents a new hybrid method for solving constraint optimization problems in anytime contexts. Discrete optimization problems are modelled as Valued CSP. Our method (VNS/LDS+CP) combines a Variable Neighborhood Search and Limited Discrepancy Search with Constraint Propagation to efficiently guide the search. Experiments on the CELAR benchmarks demonstrate significant improvements over other competing methods. VNS/LDS+CP has been successfully applied to solve a real-life anytime resource allocation problem in computer networks.

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تاریخ انتشار 2003