The Quantity Optimization of Integrated Testing Vehicle Based on Genetic Algorithm

Ai Zhen Liu; Li Yun Chen; Xing Yue Du; Xiu Feng Gao

doi:10.4028/www.scientific.net/AMM.239-240.1399

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240The Quantity Optimization of Integrated Testing...

The Quantity Optimization of Integrated Testing Vehicle Based on Genetic Algorithm

Abstract:

The rational number of Integrated Testing Vehicle is the key to decrease missile testing cost and testing time. Based on analyzing the missile testing character, mathematics model was designed and optimal method based on Genetic Algorithm was proposed. Aiming at the question particularity, variable-list encoding method, special cross operator based on one chromosome, special transformation operator and mutation operator were designed. The experimental results show that the optimal solutions of this algorithm can get a perfect balance between cost and testing time, and can meet the character of accurate support in the future war

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1399-1403

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1399

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Online since:

December 2012

Authors:

Ai Zhen Liu, Li Yun Chen, Xing Yue Du, Xiu Feng Gao

Keywords:

Genetic Algorithm (GA), Integrated Testing Vehicle, Optimization Method

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