首页> 外文会议>Evolutionary Computation, 1996., Proceedings of IEEE International Conference on >Genetic algorithms with decomposition procedures for fuzzy multiobjective 0-1 programming problems with block angular structure
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Genetic algorithms with decomposition procedures for fuzzy multiobjective 0-1 programming problems with block angular structure

机译:具有块角结构的模糊多目标0-1规划问题的遗传算法与分解程序

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Focuses on a multiobjective 0-1 programming problem with a block angular structure by incorporating the fuzzy goals of a decision maker. Having elicited the linear membership functions of the decision maker, if we adopt a fuzzy decision for aggregating them, then the original problem reduces to a single-objective 0-1 programming problem with block angular structure. To solve the reduced problem by exploiting its special structure, we propose a genetic algorithm with decomposition procedures which only generates feasible solutions. Through many numerical experiments, both the feasibility and the efficiency of the proposed method are demonstrated.
机译:通过结合决策者的模糊目标,侧重于多目标0-1编程问题,通过块角结构。引发决策者的线性隶属函数,如果我们采用模糊决定聚合它们,则原始问题会降低到块角结构的单个目标0-1编程问题。通过利用其特殊结构来解决减少问题,我们提出了一种具有分解程序的遗传算法,该遗传算法仅产生可行的解决方案。通过许多数值实验,证明了所提出的方法的可行性和效率。

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