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

被引：0

作者：

Song Zhi-yu ^{[1
,2
]}

Li Jun-jie ^{[2
]}

Wang Hong-yu ^{[2
,3
]}

机构：

[1] Yellow River Engn Consulting Co Ltd, Zhengzhou 450003, Henan, Peoples R China

[2] Dalian Univ Technol, Sch Civil & Hydraul Engn, Dalian 116023, Peoples R China

[3] China Three Gorges Project Corp, Yichang 443002, Peoples R China

来源：

ROCK AND SOIL MECHANICS | 2007年 / 28卷 / 10期

关键词：

parameter inversion; chaos; artificial fish swarm algorithm; gravity dam;

D O I：

暂无

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

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.

引用

页码：2193 / +

页数：6

共 7 条

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