中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2004, Vol. 23 ›› Issue (6): 97-101.

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Study on the optimization methods of bus network based on adapted genetic algorithm

TANG Ke-fu, WU Da-wei   

  1. Department of Applied Mathematics ,Dalian University of Technology, Dalian 116024,China
  • Received:2003-09-19 Revised:2004-03-31 Online:2004-12-15 Published:2015-05-18

基于改进遗传算法的公交线网整体优化方法

汤可夫,吴大为   

  1. 大连理工大学应用数学系,辽宁大连116024
  • 作者简介:汤可夫(1980—),男,河南南阳人,硕士生,从事网络设计、交通工程方面研究。

Abstract: Advanced Public Transportation System (APTS) is an important component of Intelligent Transportation System (ITS), which is a front research field of transportation all over the world .The research content discussed in this paper is the bus network optimization problem, which is a vital premise and basis of implementing APTS. However, with a practical size problem , the conventional techniques are facing the challenge to effectively and efficiently solve those complicated network design problem

Key words: Transportation engineering, APTS, network optimization, genetic algorithm

摘要: 先进公交系统(APTS)是智能交通系统(ITS)的重要组成部分,也是目前的研究热点问题。本文讨论的公交网 络优化问题则是实现先进公交系统的先决与基础。然而,对于实际规模的问题,传统的技术难以经济有效的解决。 为此,我们提出了新的优化模型,设计了改进的遗传算法用以求解该模型。改进的算法有两个特点:基于优先级的 编码和多染色体的结构。

关键词: 交通工程, 先进公共交通系统, 网络优化, 遗传算法

CLC Number: