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一种最短路由问题的遗传算法研究
引用本文:张永军,高兰芳,顾畹仪. 一种最短路由问题的遗传算法研究[J]. 北京理工大学学报, 2007, 27(11): 1005-1008
作者姓名:张永军  高兰芳  顾畹仪
作者单位:北京邮电大学,光通信与光波技术教育部重点实验室,北京,100876;北京邮电大学,光通信与光波技术教育部重点实验室,北京,100876;北京邮电大学,光通信与光波技术教育部重点实验室,北京,100876
基金项目:国家高技术研究发展计划(863计划) , 教育部留学回国人员科研启动基金
摘    要:
研究最短路由问题的遗传算法.采用可变长度染色体的编码方法,在固定网络和随机网络环境下,用C语言得出的仿真结果及与Dijkstra算法相比表明:大多解与Dijkstra算法的解相同,存在少数的不同解偏离不大;种群越大,路由的失败比率越小,收敛的速率越慢;当种群一定,增大网络规模时,解的质量下降,网络收敛速率急剧提高.

关 键 词:最短路由  遗传算法  可变步长编码方法  种群
文章编号:1001-0645(2007)11-1005-04
修稿时间:2007-06-21

A Research of a Genetic Algorithm for Shortest Path Routing Problem
ZHANG Yong-jun,GAO Lan-fang and GU Wan-yi. A Research of a Genetic Algorithm for Shortest Path Routing Problem[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2007, 27(11): 1005-1008
Authors:ZHANG Yong-jun  GAO Lan-fang  GU Wan-yi
Affiliation:Key Laboratory of Optical Communication and Lightwave Technologies , Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:
Variable-length chromosomes and their genes have been used for solving the shortest path routing problem of a genetic algorithm.Under random and fixed network,computer simulations with C and comparing with Dijkstra algorithm showed that most of the results are equal to the results of Dijkstra.Meanwhile,the results showed that the larger the population-sizing,the smaller the failure of ratio and the slower the rate of convergence.With population-sizing being fixed,the larger the population-sizing,the poorer the quality of results,and the higher rate of convergence.
Keywords:shortest path routing  genetic algorithm  variable-length chromosonies  populotion-sizing
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