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A perspective on the foundation and evolution of the linkage learning genetic algorithms

✍ Scribed by H. Kargupta; S. Bandyopadhyay

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
388 KB
Volume
186
Category
Article
ISSN
0045-7825

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This paper extends genetic algorithms to achieve fast solutions to difficult problem. To accomplish this, we present empirical results on the terminated condition by bias and the functionized model of mutation rate in genetic algerithms. The terminated condition by bias enable to reducing computati