具有模糊NPV的RCPSP遗传算法

Aleksandr M. Bulavchuk, D. Semenova
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引用次数: 1

摘要

本文考虑了投资项目调度问题的模糊表述。项目资源有限,以现金形式呈现。模糊净现值构成了该问题的最优性准则。本文采用作者提出的针对模糊情况进行改进的GASPIA算法来解决这一问题。适应度函数和交叉规则发生了变化。在计算实验中,找到了模糊数l变换各参数的解。确定了所得溶液的稳定性条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Algorithm for RCPSP With Fuzzy NPV
The paper considers a fuzzy statement of the investment project scheduling problem. Project resources are limited and presented in cash. The fuzzy net present value constitutes the optimality criterion for the problem. The GASPIA algorithm proposed by the authors and modified for the fuzzy case has been used to solve the problem. The fitness function and the rules of crossover have undergone changes. During computational experiments, solutions have been found for various parameters of the L-transform of fuzzy numbers. The stability conditions for the obtained solution are determined.
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