文章基本信息

标题：Transit network design and scheduling using genetic algorithm – a review
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作者：Amita Johar ; S. S. Jain ; P. K. Garg 等
期刊名称：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
印刷版ISSN：2146-5703
出版年度：2016
卷号：6
期号：1
页码：9-22
DOI：10.11121/ijocta.01.2016.00258
语种：English
出版社：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
摘要：The aim of this paper is to summarize the findings of research concerning the application of genetic algorithm in transit network design and scheduling. Due to the involvement of several parameters the design and scheduling of transit network by means of traditional optimization technique is very difficult. To overcome these problems, most of the researchers have applied genetic algorithm for designing and scheduling of transit network. After the review of various studies involved in design and scheduling of transit network using genetic algorithm, it was concluded that genetic algorithm is an efficient optimization technique.
其他摘要：The aim of this paper is to summarize the findings of research concerning the application of genetic algorithm in transit network design and scheduling. Due to the involvement of several parameters the design and scheduling of transit network by means of traditional optimization technique is very difficult. To overcome these problems, most of the researchers have applied genetic algorithm for designing and scheduling of transit network. After the review of various studies involved in design and scheduling of transit network using genetic algorithm, it was concluded that genetic algorithm is an efficient optimization technique.
关键词：Transit network; genetic algorithm; optimization technique