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K-PPM: A new exact method to solve multi-objective combinatorial optimization problems

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  • Dhaenens, C.
  • Lemesre, J.
  • Talbi, E.G.

Abstract

In this paper we propose an exact method able to solve multi-objective combinatorial optimization problems. This method is an extension, for any number of objectives, of the 2-Parallel Partitioning Method (2-PPM) we previously proposed. Like 2-PPM, this method is based on splitting of the search space into several areas, leading to elementary searches. The efficiency of the proposed method is evaluated using a multi-objective flow-shop problem.

Suggested Citation

  • Dhaenens, C. & Lemesre, J. & Talbi, E.G., 2010. "K-PPM: A new exact method to solve multi-objective combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 200(1), pages 45-53, January.
    • Handle: RePEc:eee:ejores:v:200:y:2010:i:1:p:45-53
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    1. Lemesre, J. & Dhaenens, C. & Talbi, E.G., 2007. "An exact parallel method for a bi-objective permutation flowshop problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1641-1655, March.
    2. Sayin, Serpil & Karabati, Selcuk, 1999. "A bicriteria approach to the two-machine flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 113(2), pages 435-449, March.
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    5. Ehrgott, Matthias & Tenfelde-Podehl, Dagmar, 2003. "Computation of ideal and Nadir values and implications for their use in MCDM methods," European Journal of Operational Research, Elsevier, vol. 151(1), pages 119-139, November.
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