Urban Intelligent Traffic Operation Optimization Control Strategy Based on Real-corded Evolutionary Algorithm

被引：0

作者：

You, Xiaoming ^{[1
]}

Liu, Sheng ^{[1
]}

机构：

[1] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai 200065, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

Quantum Evolutionary Algorithm; Multi-objective Optimization; Real-coded Chromosome; Public Traffic Operation Optimization; Cross and Mutation;

D O I：

10.1109/CCDC.2008.4598052

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel quantum evolutionary algorithm based immune mechanism for solving multi-objective public traffic optimization (PRIQEA) is proposed. By niche methods population is divided into subpopulations of real-coded chromosome automatically, and then local search is carried by the immune mechanism, each subpopulation can obtain optimal solution. By exchanging optimal pattern between subpopulations, we can achieve co-evolutionary of niche. Real-coded chromosome is provided with innovation; co-evolutionary strategy of niche can guarantee quite nicely the population diversity and the convergence speed The convergence of the PRIQEA is proved based on Markov chain; the algorithm is applied to urban public traffic operation optimization, and experimental results show its superiority.

引用

页码：3845 / 3850

页数：6