An Interactive Fuzzy Satisfying Method for Multiobjective Nonlinear Integer Programming Problems through Genetic Algorithms

摘要

In this paper, we propose a general-purpose solution method for nonlinear 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 nonlinear integer programming problems, we present an interactive fuzzy satisficing method through the proposed genetic algorithm.