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Extension of PROMETHEE Method for Solving Multi-Objective Optimization Problems

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 11
Year of Publication: 2014
Authors:
Mansoureh Maadi
Marzieh Soltanolkottabi
10.5120/15677-4430

Mansoureh Maadi and Marzieh Soltanolkottabi. Article: Extension of PROMETHEE Method for Solving Multi-Objective Optimization Problems. International Journal of Computer Applications 89(11):23-29, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Mansoureh Maadi and Marzieh Soltanolkottabi},
	title = {Article: Extension of PROMETHEE Method for Solving Multi-Objective Optimization Problems},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {11},
	pages = {23-29},
	month = {March},
	note = {Full text available}
}

Abstract

The most methods used for solving multi objective optimization problems (MOPs) are based on the Pareto-optimal frontier, but this approach will become questionable when the number of objectives grows. This paper presents an approach for solving MOPs using PROMETHEE method (Preference Ranking Organization methods for Enrichment Evaluation). In this paper the optimal solution of MOPs is built base on minimizing the preference of positive ideal solution and maximizing the preference over negative ideal solution. Thus, a k-dimensional objective space is reduced to a two-dimensional space. The concept of membership function of fuzzy set theory is used to represent the satisfaction level for both criteria and a max-min operator is used for solving the transformed problem. Finally a numerical example is illustrated.

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