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Apr 26, 2012
Public Transit Network Planning Based on Evolutionary Algorithm
Publication: International Conference on Transportation Engineering 2009
Abstract
The evolutionary algorithm employs chromosomes for encoding the path. Dominance relation and density information are incorporated to fitness assignment for keeping diversity of individuals. Bounded elitism ensures optimal performance of the algorithm. When given the sets of acceptable paths and stations, the algorithm can obtain multiple multi-objective optimal paths within acceptable time.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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School of Transportation, Southeast University, Nanjing 210096 China Email: [email protected] and School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074 China. E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031 China. E-mail: [email protected]
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