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

Jochen Janssens, Kenneth Sörensen and Gerrit K. Janssens

Working Papers from University of Antwerp, Faculty of Business and Economics

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.

Keywords: Multi-criteria decision making; Promethee method; GDSS (search for similar items in EconPapers)
Pages: 20 pages
Date: 2016-05
New Economics Papers: this item is included in nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2016006

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