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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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    4. Peter Bober, 2011. "Comparison of Different Approaches to the Cutting Plan Scheduling," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 15(1).
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    14. Dinçer Konur & Hadi Farhangi & Cihan H. Dagli, 2016. "A multi-objective military system of systems architecting problem with inflexible and flexible systems: formulation and solution methods," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 967-1006, October.
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