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Application of GRASP to the Multiconstraint Knapsack Problem⋆

  • Pierre Chardaire
  • Geoff P. McKeown
  • Jameel A. Maki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

A number of approaches based on GRASP are presented for the Multiconstraint Knapsack Problem. GRASP combines greedy construction of feasible solutions with local search. Results from applying our algorithms to standard test problems are presented and compared with results obtained by Chu and Beasley.

Keywords

Local Search Problem Instance Free Variable Knapsack Problem Greedy Heuristic 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Pierre Chardaire
  • Geoff P. McKeown
  • Jameel A. Maki
    • 1
  1. 1.UEA NorwichUK

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