Using One-At-A-Time Sensitivity Analysis Designs for Genetic Algorithm Solving Continuous Network Design Problems

摘要：

This paper is focus on the parameters settings using genetic algorithm to solve continuous network design problems (CNDP). The CNDP is formulated as a bi-level programming model. The sensitive analyses method, one-at-a-time designs, is used to analyze the effects of parameters. The analyses demonstrated that the setting of population size has clear effects to the solution; the effects of crossover probability and mutation probability are less than the effects of their combinations. The fields of these parameters are also given in this paper, which avoid to set them blindly in algorithm designs.

作者: Meng Xu Jin Yang Ziyou Gao

作者单位: Institute of Systems Science, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1164-1168

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）