首页 | 本学科首页   官方微博 | 高级检索  
     

关联运输调度问题的模糊机会约束规划模型
引用本文:王芳婷,蔡延光,汤雅连,黄刚. 关联运输调度问题的模糊机会约束规划模型[J]. 东莞理工学院学报, 2014, 0(1): 30-35
作者姓名:王芳婷  蔡延光  汤雅连  黄刚
作者单位:广东工业大学自动化学院,广州510006
摘    要:提出了针对多车场多车型的关联运输调度问题(Multiple-depot and Heterogeneous-vehicle Incident Vehicle Routing Problem)的模糊机会约束规划模型,将问题模型中各个客户的需求量及各供货点库存看成是模糊参数,讨论了如何处理模糊目标函数,并讨论了改进的遗传算法和免疫克隆选择算法,比较其优劣。实验证明,对于求解该模型,免疫克隆选择算法能够快速收敛于全局最优解,优于改进的遗传算法,能有效地解决关联运输调度问题。

关 键 词:关联运输调度问题  模糊机会约束规划  遗传算法  免疫克隆选择算法

Fuzzy Chance Constrained Programming Model for Incident Vehicle Routing Problem
WANG Fang-ting,CAI Yan-guang,TANG Ya-lian,HUANG Gang. Fuzzy Chance Constrained Programming Model for Incident Vehicle Routing Problem[J]. Journal of Dongguan Institute of Technology, 2014, 0(1): 30-35
Authors:WANG Fang-ting  CAI Yan-guang  TANG Ya-lian  HUANG Gang
Affiliation:( School of Automation, Guangdong University of Technology, Guangzhou 510006, China)
Abstract:This paper introduces the fuzzy chance constrained programming model for multiple -depot and heterogeneous -vehicle Incident Vehicle Routing Problem ( IVRP, in which customers ’ demands for products and stocks of supply point are treated as fuzzy parameters , discussing how to deal with the fuzzy object function , improving and comparing genetic algorithm and Immune Clone Selection Algorithm ( ICSA) .The experiment result shows that ICSA could converge to global optimal solution rapidly and o -vercome the slow convergence speed of the improved genetic algorithm so as to solve the IVRP effectively and efficiently .
Keywords:IVRP  fuzzy chance constrained programming  genetic algorithm  immune clone selection algorithm
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号