The Closure Temperature Fields and Shape Optimization of Arch Dam Based on Genetic Algorithms
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 al-gorithm(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.
Hui Peng Wei Yao Ping Huang
College of Civil and Hydroelectric Engineering China Three Gorges University, Yichang 443002, Hubei Province, China
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
317-324
2009-08-10（万方平台首次上网日期，不代表论文的发表时间）