Chapter
Apr 26, 2012
The Application of an Improved Hybrid Genetic and Simulated Annealing for Optimization of the Bus Timetable
Authors: Chuanxiang Ren [email protected], Changchang Yin, Fasheng Liu, Zhen Li, and Hui WangAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Non-uniform bus timetable is presented and the corresponding model is set up. Then the Genetic Algorithm and Simulated Annealing algorithm are combined, also the crossover operation, mutation operation and elitist strategy are improved in genetic process, so the improved hybrid genetic simulated annealing algorithm is got. Finally, this algorithm is designed and used to the bus timetable model, and the results indicate this algorithm has the higher efficiency than simple GA and is one effective way to optimizing the bus timetable, also the non-uniform bus timetable is proved to reduce the passengers' waiting time and improve the agency's efficiency.
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Published In
International Conference on Transportation Engineering 2009
Pages: 3918 - 3923
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Affiliations
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China. E-mail: [email protected]
Changchang Yin
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China
Fasheng Liu
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China
Zhen Li
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China
Hui Wang
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China
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