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A parameter tuning method to analyse the influence of algorithmic parameters in combination with instance characteristics on the quality of a Pareto front

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  • JANSSENS, Jochen
  • SÖRENSEN, Kenneth
  • JANSSENS, Gerrit K.

Abstract

In this paper, the eff?ect of the algorithmic parameters and instance characteristics on the quality of a Pareto front is analysed. The algorithm for which the parameters are evaluated is the variable neighborhood tabu search that is used to solve a multi-objective microzone-based vehicle routing problem. To evaluate the eff?ectiveness of the parameter sett?ings that are used to tune the aforementioned mentioned algorithm, diff?erent performance indices, which evaluate the quality of the Parote set, are used. ?The Promethee method is employed to select the combination of sett?ings that is deemed “the best” by the decision maker.

Suggested Citation

  • JANSSENS, Jochen & SÖRENSEN, Kenneth & JANSSENS, Gerrit K., 2016. "A parameter tuning method to analyse the influence of algorithmic parameters in combination with instance characteristics on the quality of a Pareto front," Working Papers 2016006, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2016006
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    References listed on IDEAS

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    1. Janssens, Jochen & Van den Bergh, Joos & Sörensen, Kenneth & Cattrysse, Dirk, 2015. "Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 222-231.
    2. Belarmino Adenso-Díaz & Manuel Laguna, 2006. "Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search," Operations Research, INFORMS, vol. 54(1), pages 99-114, February.
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    Keywords

    Multi-criteria decision making; Promethee method; GDSS;
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