摘要
基于可信性理论和两阶段模糊优化方法,提出一类带有模糊参数的两阶段运输期望值模型。由于提出运输问题包含带有无限支撑的模糊变量系数,因此它是一个无限维的优化问题。然后,讨论两阶段模糊运输期望值问题的逼近方法并且将逼近方法嵌套到遗传算法中产生一个基于遗传算法的逼近方法求解提出的两阶段模糊运输期望值问题。最后,给出一个数值例子来表明所设计模型和算法的实用性与有效性。
Based on credibility theory and two-stage fuzzy optimization method, this paper will present aclass of two-stage transportation expected value model with fuzzy parameters, Since the propsed transportation peoblem includes fuzzy variable coefficients with infinite supports in this paper, it is infinite- dimensional optimization problem. Then approximation approach of two-stage fuzzy transportation expected value problem is discussed and embeded into a genetic algorithm to produce an approximation based genetic algorithm for solving the proposed two-stage fuzzy transportation expected value problem. Finally, a numerical example is given to show the practicality and effectiveness of the designed model and algorithm.
出处
《模糊系统与数学》
CSCD
北大核心
2011年第1期167-174,共8页
Fuzzy Systems and Mathematics
基金
河北省高等学校自然科学研究青年基金资助项目(2010124)
河北省科学技术研究与发展计划项目(104572113)
关键词
运输期望值模型
可信性理论
两阶段模糊优化
逼近方法
遗传算法
Transportation Expected Value Model
Credibility Theory
Two-stage Fuzzy Optimization
Approximation Approach
Genetic Algorithm
