A Hybrid IGA-SA Algorithm for Optimization Problems in Fault Diagnosis

Xiao Quan Li; Mao Lin; Shuai Liu

doi:10.4028/www.scientific.net/AMM.571-572.187

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572A Hybrid IGA-SA Algorithm for Optimization...

A Hybrid IGA-SA Algorithm for Optimization Problems in Fault Diagnosis

Abstract:

This paper presents a hybrid algorithm combining immune genetic algorithm (IGA) with simulated annealing (SA) to overcome the shortages of both the two algorithms respectively. SA is introduced to solve the problem of IGA in fault diagnosis, unable to reach whole convergence and etc. by designing a new kind of self-adaption strategy of genetic parameters. Finally, the Schaffer function is introduced to show the optimization ability of this proposed IGA-SA algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

187-190

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.187

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Cite this paper

Online since:

June 2014

Authors:

Xiao Quan Li*, Mao Lin, Shuai Liu

Keywords:

GA, IGA, Optimization, SA, Self-Adaption Strategy

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* - Corresponding Author

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