摘要
在对模糊车辆路径问题进行简单描述的基础上,通过引入决策者主观偏好值的概念,给出了解决该问题的基本思路,建立了具有模糊特征的车辆路径问题的模糊机会规划模型,提出了求解该问题的一种基于模糊模拟的混合遗传算法。同时,在最小化总行驶距离的目标下,通过随机模拟方法研究了决策者主观偏好值的选择对最终决策目标的影响作用,并给出了其最佳取值范围。
The traditional deterministic vehicle routing problem(VRP) is expanded to the situation that the VRP has fuzzy features.The customs' demands of the VRP are treated as fuzzy numbers in this paper.After a simple description of the fuzzy vehicle routing problem,a mathematical model for the problem is built on the basis of the introduction of the concept of the decisionmaker's preference.Then,a hybrid genetic algorithm is proposed to this kind of problem.Finally,the influence of the decisionmaker's preference on the final objective of the problem is discussed using the method of stochastic simulation, and the rational range of the preference number is given.
出处
《管理工程学报》
CSSCI
2005年第2期23-26,共4页
Journal of Industrial Engineering and Engineering Management
基金
国家自然科学基金资助项目(70071028)
关键词
模糊车辆路径问题
模糊可能性
模拟
决策者偏好
fuzzy vehicle routing problem
fuzzy possibility
simulation
decisionmaker's preference
