An interactive fuzzy satisfying method for multiobjective nonlinear integer programming problems through genetic algorithms

Authors:
Masatoshi Sakawa;Kosuke Kato
Affiliations:
Hiroshima University, Higashi, Hiroshima, Japan;Hiroshima University, Higashi, Hiroshima, Japan
Venue:
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Year:
2003

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Abstract

In this paper, we propose a general-purpose solution method for non-linear integer programming problems by extending genetic algorithms with double strings for linear ones. After describing the proposed genetic algorithm, its efficiency will be shown through numerical experiments using single-objective nonlinear programming problems. Furthermore, focusing on multiobjective non-linear integer programming problems, we present an interactive fuzzy satisficing method through the proposed genetic algorithm.