A Comparative Study on Real - number Processing Method in Genetic Algorithms


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 2, pp. 361-371, Feb. 1998
10.3745/KIPSTE.1998.5.2.361,   PDF Download:

Abstract

In early research results of genetics algorithm, binary representation has been used for chromosome. However, binary representation has been recognized to have some weak points to solve real-world applications which would be represented with real number. Although many representation schemes and operators using characteristics of each scheme have been propesed in oder to solve real-world problems effectively, there was no method confirmed widely in machine learning society. In this paper, we study which chromosome representation schemes and operators for real-number processing are appropriate for a specific problem. And we propose another chromosome representation scheme and search strategy to search integer part and decimal part separately, and then to recombine each chromosome to find a solution.


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Cite this article
[IEEE Style]
J. S. Hyun and Y. B. Joo, "A Comparative Study on Real - number Processing Method in Genetic Algorithms," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 2, pp. 361-371, 1998. DOI: 10.3745/KIPSTE.1998.5.2.361.

[ACM Style]
Jang Su Hyun and Yoon Byung Joo. 1998. A Comparative Study on Real - number Processing Method in Genetic Algorithms. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 2, (1998), 361-371. DOI: 10.3745/KIPSTE.1998.5.2.361.