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.
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Peng, H., Yao, W., Huang, P. (2010). The Closure Temperature Fields and Shape Optimization of Arch Dam Based on Genetic Algorithms. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_43
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DOI: https://doi.org/10.1007/978-3-642-11842-5_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11841-8
Online ISBN: 978-3-642-11842-5
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