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Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems

  • Thibaut Lust
  • Jacques Teghem
  • Daniel Tuyttens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6576)

Abstract

Very large-scale neighborhood search (VLSNS) is a technique intensively used in single-objective optimization. However, there is almost no study of VLSNS for multiobjective optimization. We show in this paper that this technique is very efficient for the resolution of multiobjective combinatorial optimization problems. Two problems are considered: the multiobjective multidimensional knapsack problem and the multiobjective set covering problem. VLSNS are proposed for these two problems and are integrated into the two-phase Pareto local search. The results obtained on biobjective instances outperform the state-of-the-art results for various indicators.

Keywords

Multiobjective Optimization Travel Salesman Problem Travel Salesman Problem Knapsack Problem Variable Neighborhood Search 
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 2011

Authors and Affiliations

  • Thibaut Lust
    • 1
  • Jacques Teghem
    • 1
  • Daniel Tuyttens
    • 1
  1. 1.Laboratory of Mathematics & Operational ResearchFaculté Polytechnique de MonsMonsBelgium

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