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An Application of Genetic Algorithm in Engineering Optimization

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Current Trends in High Performance Computing and Its Applications

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Summary

Genetic Algorithm is used to solve the sizing optimization of structure. First of all, the mathematical model of the problem is developed by Statically Determinate Supposition. Then, the genetic algorithm is used to solve the mathematical model. Because only one time structure analysis is needed, the total times of structure analysis is decreased. An efficient method is given for using genetic algorithm to solve structural optimization.

The author is a visiting professor at Department of Computer Science, University of Otago, Dunedin, New Zealand

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References

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Author information

Authors and Affiliations

  1. Computer Department, Tianjin University of Technology and Education, Tianjin, 300222, People’s Republic of China

    Lianshuan Shi

  2. Beijin Jiaotong University, Beijing, 010021, China

    Lin Da

  3. Information College, Tianjin University, Tianjin, 300222, China

    Heng Fu

Authors
  1. Lianshuan Shi
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  2. Lin Da
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  3. Heng Fu
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Editor information

Editors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, 200072, Shanghai, People’s Republic of China

    Wu Zhang  & Weiqin Tong  & 

  2. Department of Mathematics, Southern Methodist University, 75275-0156, Dallas, TX, USA

    Zhangxin Chen

  3. Department of Mathematics, University of Houston, 77204-3476, Houston, TX, USA

    Roland Glowinski

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© 2005 Springer-Verlag Berlin Heidelberg

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Shi, L., Da, L., Fu, H. (2005). An Application of Genetic Algorithm in Engineering Optimization. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_57

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