mk:ifsa03

Summary

Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm. Mario Köppen, Katrin Franke and Bertram Nickolay. In Proceedings of the 10th IFSA World Congress. Istanbul, Turkey, 2003, pages 450-453, 2003.

Abstract

This paper presents a new approach to multiobjective optimization by evolutionary algorithm. The approach is based on fuzzification of Pareto dominance relation. Using fuzzy degrees of dominance, a set of vectors (multiple objectives) can be partially ranked. The FDD algorithm, a modification of standard genetic algorithm using this ranking scheme for the selection operations, is presented and evaluated on benchmark function.

Bibtex entry

@INPROCEEDINGS { mk:ifsa03,
    ABSTRACT = { This paper presents a new approach to multiobjective optimization by evolutionary algorithm. The approach is based on fuzzification of Pareto dominance relation. Using fuzzy degrees of dominance, a set of vectors (multiple objectives) can be partially ranked. The FDD algorithm, a modification of standard genetic algorithm using this ranking scheme for the selection operations, is presented and evaluated on benchmark function. },
    AUTHOR = { Mario Köppen and Katrin Franke and Bertram Nickolay },
    BOOKTITLE = { Proceedings of the 10th IFSA World Congress. Istanbul, Turkey, 2003 },
    MODIFIED = { 2008-02-28 14:35:16 +0900 },
    HASABSTRACT = { Yes },
    PAGES = { 450-453 },
    PDF = { ifsa03.pdf },
    TITLE = { Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm },
    YEAR = { 2003 },
}

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New edited book "Soft Computing in Industrial Applications", V. Snasel, P. Kroemer, M. Koeppen, G. Schaefer, Springer AISC 223, July 2013.