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 func...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Opinnäyte |
| Kieli: | English |
| Julkaistu: |
2010
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| Linkit: | http://ethesis.upm.edu.my/id/eprint/6001/1/FS_2010_53.pdf |
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