Solutions to systems of nonlinear equations via genetic algorithm

被引：0
|
作者：
Karr, CL [1 ]
Weck, B [1 ]
机构：
[1] Univ Alabama, Dept Aerosp Engn & Mech, Tuscaloosa, AL 35487 USA
来源：
GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 1999年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Solving systems of nonlinear equations is perhaps the most difficult problem in all of numerical computation. In this paper, a hybrid scheme is presented in which a genetic algorithm is used to locate efficient initial guesses which are supplied to a Newton method for solving a system of nonlinear equations. The hybrid scheme is tested on a specific example that is representative of this class of problems one of determining the coefficients used in Gauss-Legendre numerical integration.
引用
收藏
页码：1786 / 1786
页数：1
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