摘要
针对传统数学规划方法处理公共交通网络系统优化存在的局限性,设计了一种基于禁忌算法的仿真优化模型。通过多次仿真实验研究,其中半数以上达到了本算法所能得到的最优解,并且试验结果比较稳定。仿真实验结果表明将该算法应用于公共交通网络仿真优化研究中具有很高的应用价值。
Against the limitation of the traditional mathematical programming to deal with the transit network system optimization, a simulation optimization model based on the tabu search algorithm was designed. Through many simulation experiments, more than half gained optimal solution which the algorithm could get, and the results appeared steady. The simulation experiment results show that the application of the algorithm to the study of the transit network simulation optimization is of great practical value.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2006年第3期340-344,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
长春市城市公共交通发展规划项目
关键词
交通运输系统工程
公共交通网络
禁忌算法
仿真
优化
engineering of communications and transportation system
transit network
tabu search algorithm
simulation
optimization
