%0 Journal Article
%T Artificial Fish-Swarm Algorithm for Solving Nonlinear Equations<br>人工鱼群算法在求解非线性方程组中的应用
%A WANG Dong-dong
%A ZHOU Yong-quan
%A <br>王冬冬
%A 周永权
%J 计算机应用研究
%D 2007
%I 
%X Aiming at the problems of the classical algorithms for solving nonlinear equations,such as high sensitivity to the initial guess of the solution,poor convergence reliability and can't get all solutions,etc.,the Artificial Fish-Swarm Algorithm(AFSA) which was put forward recently to solve nonlinear equations.The solving results are accurate,the computer simulated results show that this technique overcomes the problems such as sensitivity to initial values,poor convergence reliability,and resolves the difficulty in getting all solutions too.It makes a new method for resolving the nonlinear equations.
%K system of nonlinear equations
%K artificial fish-swarm algorithm
%K approximation solution
%K evolutionary computation<br>非线性方程组
%K 人工鱼群算法
%K 近似解
%K 进化计算
%K 人工鱼群算法
%K 求解精度
%K 线性方程组
%K 应用
%K Nonlinear
%K Equations
%K Algorithm
%K 初值敏感
%K 方法
%K 仿真结果
%K 数值
%K 收敛速度
%K 进化算法
%K 问题
%K 收敛性
%K 解法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6EE6642A331B5270E&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=0C191C6ECF79047F&eid=5B5B75F4854B8331&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8