A Kind of New Immune Genetic Algorithm and its Application

Abstract:

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According to the phenomenon of falling into local optimum during solving large-scale optimization problems and the shortcomings of poor convergence of Immune Genetic Algorithm, a new kind of probability selection method based on the concentration for the genetic operation is presented. Considering the features of chaos optimization method, such like not requiring the solved problems with continuity or differentiability, which is unlike the conventional method, and also with a solving process within a certain range traverse in order to find the global optimal solution, a kind of Chaos Immune Genetic Algorithm based on Logistic map and Hénon map is proposed. Through the application to TSP problem, the results have showed the superior to other algorithms.

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Periodical:

Edited by:

Zhixiang Hou

Pages:

25-28

DOI:

10.4028/www.scientific.net/AMM.48-49.25

Citation:

W. J. Ren et al., "A Kind of New Immune Genetic Algorithm and its Application", Applied Mechanics and Materials, Vols. 48-49, pp. 25-28, 2011

Online since:

February 2011

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$35.00

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