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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v45.i2.80
pages 68-79

Hybrid Genetic Algorithm on the Basis of Biological Apoptosis

Oleg G. Rudenko
Kharkov National University of Radio and Electronics, Kharkov
Roman V. Bobniev
Kharkov National University of Radio and Electronics

要約

The classical genetic algorithm and main problems, which originate on its implementation, are considered. Modification of the mentioned algorithm, which changes the way of formation of new pairs of descendants on the basis of the mechanism of biological apoptosis, is suggested. The notion of population saturation is introduced and it is suggested to use threshold of saturation for perfection of algorithm operation. We adduce the results of experimental investigations, which confirm efficiency of the suggested modifications on determination of extremums of multimodal functions.

参考

  1. Holland J.H. , Adaptation in natural and artificial systems.

  2. Rutkovskaya D., Pilinskiy M., Rutkovskiy L. , Neural networks, genetic algorithms and fuzzy systems [in Russian].

  3. Skobtsov Yu.A. , Fundamentals of evolutional computations [in Russian].

  4. Gordeeva A.V., Labas Yu.A., Zvyagilskaya R.A. , Apoptosis of one-cell organisms: mechanisms and evolution.

  5. Goldberg D.E., Richardson J. , Genetic algorithms with sharing for multimodal function optimization.

  6. De Castro L.N., Von Zuben F.J. , Learning and optimization using the clonal selection principle, II.


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