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.
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