Interactive Fuzzy Programming for Multi-level Nonlinear Integer Programming Problems through Genetic Algorithms
نویسندگان
چکیده
In the present paper, we focus on multi-level nonlinear integer programming problems (MLNLIPPs) in which there exist decision makers (DMs) with integer decision variables at all levels. Various approaches for multi-level programming problems could exist according to situations which the DMs are placed in. Assuming the cooperative relationship among the DMs at all levels, in this paper, an interactive fuzzy programming technique through genetic algorithms for MLNLIPPs is proposed to obtain a satisfactory solution for all DMs. Furthermore, the feasibility of the proposed method is shown by applying it to an illustrative numerical example.
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