A New Hybrid Method for Solving Constraint Optimization Problems in Anytime Contexts

  • Authors:
  • Samir Loudni;Patrice Boizumault

  • Affiliations:
  • -;-

  • Venue:
  • ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 2001

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Abstract

In this paper, we present a new hybrid method for solving constraint optimization problems in anytime contexts. We use the Valued Constraint Satisfaction Problem (VCSP) framework to model numerous discrete optimization problems. Our method (VNS/LDS+CP) combines a Variable Neighborhood Search (VNS) scheme with Limited Discrepancy Search (LDS) using Constraint Propagation (CP) to evaluate cost and legality of moves made by VNS. Our experimental results on real-word problem instances demonstrate that our method clearly outperforms both LNS/CP/GR (another hybrid method which also relies on the VCSP framework) and other standard local search methods as Simulated-Annealing. This confirm the benefit of the use, in a local search, of the LDS partial search with constraint propagation.