The closure temperature fields and shape optimization of arch dam based on genetic algorithms

  • Authors:

  • Hui Peng;Wei Yao;Ping Huang

  • Affiliations:

  • College of Civil and Hydroelectric Engineering, China Three Gorges University, Yichang, Hubei Province, China;College of Civil and Hydroelectric Engineering, China Three Gorges University, Yichang, Hubei Province, China;College of Civil and Hydroelectric Engineering, China Three Gorges University, Yichang, Hubei Province, China

  • Venue:
  • HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
  • Year:
  • 2009

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Abstract

The optimization of arch dams is complex because its objective function and constraint conditions appear non-linear. Although many conventional optimization methods already applied to arch dam shape optimization, these methods impose lots of disadvantages on optimal results at last. A Genetic algorithm(GA)based on float-encoding is presented and applied to closure temperature field and Shape optimization of arch dams. The results of a practical project indicate that GA has an advantage over that by multi-objective non-linear programming method.