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A Hybrid Genetic Algorithm for the 0–1 Multiple Knapsack Problem

  • C. Cotta
  • J. M. Troya

Abstract

A hybrid genetic algorithm based in local search is described. Local optimisation is not explicitly performed but it is embedded in the exploration of a search metaspace. This algorithm is applied to a NP-hard problem. When it is compared with other GA-based approaches and an exact technique (a branch and bound algorithm), this algorithm exhibits a better overall performance in both cases. Then, a coarse-grain parallel version is tested, yielding notably improved results.

Keywords

Genetic Algorithm Local Search Problem Instance Knapsack Problem Hybrid Genetic 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 Wien 1998

Authors and Affiliations

  • C. Cotta
    • 1
  • J. M. Troya
    • 1
  1. 1.Departamento de Lenguajes y Ciencias de la ComputaciónMálagaSpain

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