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.
Public Transit Network Planning Based on Evolutionary Algorithm
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
2009-07-29
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Public Transit Network Planning Based on Evolutionary Algorithm
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