DocumentCode
620117
Title
A hybrid genetic algorithm for the special transit route designing problem in mega-events
Author
Di Zhang ; Hongfeng Wang ; Jiafu Tang
Author_Institution
Coll. of Inf. & Eng., Northeastern Univ., Shenyang, China
fYear
2013
fDate
25-27 May 2013
Firstpage
2426
Lastpage
2429
Abstract
Traffic problem in mega-events has gained more and more research attentions from OR community. In this paper, a special transit route designing problem is investigated, which aims to design additional routes to satisfy the special travel demand in mega-events. A mix 0-1 integer programming model is formatted firstly and then a hybrid genetic algorithm is proposed to solve the investigated problem. Finally, an experimental study is devised to verify the performance of the proposed MIP model and HGA algorithm.
Keywords
genetic algorithms; integer programming; vehicle routing; HGA algorithm; MIP model; OR community; hybrid genetic algorithm; mega-events; mix 0-1 integer programming model; research attentions; special transit route designing problem; special travel demand; traffic problem; Algorithm design and analysis; Encoding; Genetic algorithms; Maintenance engineering; Routing; Sociology; Statistics; genetic algorithm; mega-events; transit route designing problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561346
Filename
6561346
Link To Document