Robust Design Optimization Based on Improved Ant Colony Algorithm with Application

Abstract:

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The basic ant colony algorithm is improved by introducing chaos model of Logistic and discrete search in order to improve the global convergence. A program of improved ant colony algorithm has been designed by using Matlab. It can be used for solving optimal design problems with continuous variables, discrete variables or mixed-discrete variables. For an electric circuit, the design problem about the robustness of electric current is discussed and a model of robust optimal design is established. The solution of established model is achieved by using the proposed method and the robustness of the electric circuit has been improved. The example shows that the proposed method is effective in engineering design.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

2273-2277

DOI:

10.4028/www.scientific.net/AMM.29-32.2273

Citation:

S. M. Hao et al., "Robust Design Optimization Based on Improved Ant Colony Algorithm with Application", Applied Mechanics and Materials, Vols. 29-32, pp. 2273-2277, 2010

Online since:

August 2010

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Price:

$35.00

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