Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. Most of the current methods of crossover determine o®spring by using a stochastic approach and without reference to the objective funct...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/21097/1/FS_2010_53_IR.pdf |
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