Chapter
Apr 26, 2012
Multi-Generation Compete Genetic Algorithms and Its Application in Vehicle Routing Problem
Authors: Lianbo Deng [email protected], Feng Shi, and Ting LiangAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
Age and life-span was imported to genetic algorithm for overcoming the low efficiency, when the algorithm is used to Vehicle Routing Problem. Multi-generation Compete Genetic Algorithm is put forward. At each iteration some individuals are updated by descendible mode. Each individual, according to its age and life-span, is judged whether it is kept down to next generation population, or its life was terminated. By this means, survived generations of some better individuals were prolonged in the generation population and the probability of their propagation increased. Some better solutions are presented through using the algorithms.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Traffic and Transportation Engineering School, Central South University, ChangSha, 410075. E-mail: [email protected]
Feng Shi
Traffic and Transportation Engineering School, Central South University, ChangSha, 410075
Ting Liang
Traffic and Transportation Engineering School, Central South University, ChangSha, 410075
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.