Using Genetic Algorithm to Solve the Shortest Driving Time Problem and Improvement of Population Initialization
碩士 === 東海大學 === 資訊工程學系 === 98 === In this thesis we investigate the influences on the genetic algorithm of a shortest driving time problem due to factors such as nodes on a map, the population size, the mutation rate, the crossover rate, and the converging rate. When the nodes on the map increase,...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/19502145854766465880 |