Interactive Genetic Algorithms with Grey Level of Individual Interval Fitness

Guang Song Guo; Yuan Peng Liu

doi:10.4028/www.scientific.net/AEF.1.193

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vol. 1Interactive Genetic Algorithms with Grey Level of...

Interactive Genetic Algorithms with Grey Level of Individual Interval Fitness

Abstract:

For the problem that interactive genetic algorithms lack a way of measuring uncertainty of comment, a method with grey level for uncertainty of individuals evolutionary is proposed in this paper in which the individual fitness is an interval. Through analyzing these fitness grey level, information reflecting the distribution of an evolutionary population is abstracted. Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are proposed.

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Periodical:

Advanced Engineering Forum (Volume 1)

Pages:

193-197

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.1.193

Citation:

Cite this paper

Online since:

September 2011

Authors:

Guang Song Guo, Yuan Peng Liu

Keywords:

Fitness, Grey Level, Interaction Genetic Algorithms, Interval

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Creative Commons CC BY 4.0

References

[1] Biles J. A, Anderson P. G and Loggi L. W, Neural network fitness functions for a musical IGA, Proceedings of the International Symposium on Intelligent Industrial Automation and Soft Computing, 1996, pp.39-44.

Google Scholar

[2] Guo-sheng HAO, Dun-wei GONG and You-qun SHI, Search Space Partition Based on Autonomous Genetic Algorithm and Its Application, Journal of Hangzhou Institute of Electronic Engineering, 2005, 25(5), pp.6-9.

Google Scholar

[3] Dunwei Gong, Guangsong Guo, Adaptive Interactive Genetic Algorithms with Interval Fitness of Evolutionary Individuals, Progress in Natural Science , 2008, 18(3), p.359–365.

DOI: 10.1016/j.pnsc.2007.11.010

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[4] Ju-long Deng, Element of Grey Theory. Wuhan: HUST Press, (2003).

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