Genetic Algorithm for Biobjective Urban Transit Routing Problem

This paper considers solving a biobjective urban transit routing problem with a genetic algorithm approach. The objectives are to minimize the passengers’ and operators’ costs where the quality of the route sets is evaluated by a set of parameters. The proposed algorithm employs an adding-node proce...

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Bibliographic Details
Main Authors: J. S. C. Chew, L. S. Lee, H. V. Seow
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/698645
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