›› 2007, Vol. 28 ›› Issue (10): 2193-2196.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Inverse research for gravity dam parameters based on chaos artificial fish swarm algorithm

SONG Zhi-yu1, 2, LI Jun-jie2, WANG Hong-yu2, 3   

  1. 1. Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, China; 2. School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116023, China; 3. China Three Gorges Project Corporation, Yichang 443002, China
  • Received:2005-10-14 Online:2007-10-10 Published:2013-10-15

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Abstract: A new stochastic search optimization algorithm, artificial fish swarm algorithm (AFSA ), is presented firstly; and according to the ergodicity and stochasticity of chaos, we combined artificial fish swarm algorithm and chaos to form a new fusion optimization algorithm, chaos artificial fish swarm algorithm(CAFSA). Then CAFSA is applied to inverse the parameters of gravity dam. Results of computation example show that CAFSA has the advantages of rapid convergence rate, high optimization efficiency and high inversion accuracy; so a new way for solving the problem of optimization and identification is provided.

Key words: parameter inversion, chaos, artificial fish swarm algorithm, gravity dam

CLC Number: 

  • TB 115
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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