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Similarity matching selection of genetic algorithm
XIE Zhi-wen,YIN Jun-xun,JIN Jing
Journal of Computer Applications
2005, 25 (11):
2665-2667.
A new matching selection called similarity-matching selection of genetic algorithm was presented and the probabilities of the selection were calculated.An experimental calculation based on the proposed matching selection for a maximum problem was performed.The results show that such a matching selection guarantees the centralization and continuity of the excellent genes and can help to maintain the good gene constructions from the point of real world’s view.Furthermore,from the point of calculation convergence view,the calculation using the new matching selection is not easy to diverge in the small area around the global maximum.Therefore,the speed of convergence can be accelerated.
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