Optimal error correction of the absolute value equation using a genetic algorithm

被引：21

作者：

Ketabchi, Saeed ^{[1
]}

Moosaei, Hossein ^{[1
]}

Fallahi, Saeed ^{[1
]}

机构：

[1] Univ Guilan, Fac Math Sci, Dept Appl Math, Rasht, Iran

来源：

MATHEMATICAL AND COMPUTER MODELLING | 2013年 / 57卷 / 9-10期

关键词：

Absolute value equation; Fractional programming; Genetic algorithm; Optimum correction; LINEAR COMPLEMENTARITY-PROBLEM;

D O I：

10.1016/j.mcm.2011.11.068

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we have studied the optimum correction of the absolute value equation through making minimal changes in the coefficient matrix and the right-hand side using the l(2) norm. Solving this problem is equal to solving a nonconvex and fractional quadratic problem. To solve this problem, we use a genetic algorithm. Our computational results show that this method is efficient, with high accuracy. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2339 / 2342

页数：4

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