摘要
针对车辆路径问题这一求解难题,提出基于启发式变换的仿真优化原理和求解方法,建立了基于邻接矩阵的车辆路径问题的数学模型;利用启发式运行规则对仿真运行的参数进行了分析,通过矩阵变换改进优化搜索策略并找出最优解或满意解.算例求解表明,基于矩阵变换的仿真优化方法具有良好的稳定性和求解效率.该项研究为求解车辆路径问题这一难题提供了新思路.
Focusing on the vehicle routing problems which are difficult to be solved, a principle and a method of simulation optimization with heuristic transformation are presented. A mathematical model of vehicle routing problems based on adjacency matrix is set up. The parameters produced by simulation are analyzed using heu- ristic rules. The matrix transformation is used to optimize searching strategies, and then the best solutions or ideal solutions are found. A case-study shows that the method of simulation optimization with matrix transfor- mation is efficient and its result has sound stability. This paper provides a new way for solving the vehicle routing problems.
出处
《管理科学学报》
CSSCI
北大核心
2008年第4期67-75,共9页
Journal of Management Sciences in China
基金
国家杰出青年科学基金资助项目(70725004)
国家自然科学基金资助项目(70571009,70171040,70031020)
教育部科学技术研究重点资助项目(03052)
教育部博士点基金资助项目(20010141025)
辽宁省教育厅基金资助项目(2004F020)
关键词
车辆路径问题
仿真优化
邻接矩阵
矩阵变换
启发式变换
vehicle routing problems
simulation optimization
adjacency matrix
matrix transformation
heu- ristic transformation
