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 },
}