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基于免疫优化算法与混合粒子群算法的定制公交站点设置及线路规划研究——以武汉市定制公交为例

发表时间:2017-04-14  浏览量:1306  下载量:170
全部作者: 谭子健,周静静,张素花,赵东方
作者单位: 华中师范大学数学与统计学学院
摘 要: 基于免疫优化算法与粒子群算法,并结合遗传算法的优点,提出混合型免疫优化算法与混合粒子群算法。以湖北省武汉市定制公交作为研究实例,从定制公交站点设置、线路规划等方面进行研究,以期为定制公交行业发展提出科学可行的指导性建议,使其在运营与发展中具有进一步理论研究与实际操作的数学依据。
关 键 词: 运筹学;定制公交;遗传算法;免疫优化算法;混合粒子群算法
Title: An optimized algorithm for customized bus site settings and line planning based on immune optimization algorithm and hybrid par-ticle swarm optimization algorithm: a case study of customized public transport in Wuhan city
Author: TAN Zijian, ZHOU Jingjing, ZHANG Suhua, ZHAO Dongfang
Organization: School of Mathematics & Statistics, Central China Normal University
Abstract: A hybrid immune optimization algorithm and a hybrid particle swarm optimization algorithm were formed based on immune optimization algorithm and particle swarm optimization algorithm, combined with the advantages of genetic algorithm. Taking customized public transport in Wuhan city as a case study, we researched the customized bus station settings, line planning and other aspects in order to give the scientific and practical guidance to the development of customized public transport, which can be used to provide mathematical basis for further research both in theory and in practice.
Key words: operational research; customized public transport; genetic algorithm; immune optimization algorithm; hybrid particle swarm optimization algorithm
发表期数: 2017年4月第7期
引用格式: 谭子健,周静静,张素花,等. 基于免疫优化算法与混合粒子群算法的定制公交站点设置及线路规划研究——以武汉市定制公交为例[J]. 中国科技论文在线精品论文,2017,10(7):737-747.
 
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