中山大学学报（自然科学版）2011，Vol.50Issue(1)：9-13,5.
基于改进遗传算法的非线性方程组求解
Solving Nonlinear Equations Based on Improved Genetic Algorithm
摘要
Abstract
Some methods such as population isolation mechanism, optimum reserved strategy, arithmetic crossover, adaptive random mutation and heterogeneous strategy are used to improve genetic algorithm.Besides the advantage that the optimal solution can be found only by the value of objective function, the local searching capability is enhanced in this improve genetic algorithm.This algorithm is applied to solve nonlinear equations.Numerical examples demonstrated that this algorithm can solve the optimization problem which has nonlinear equality constraint.Furthermore, the heterogeneous strategy speeds up the process of convergence and raises the convergence probability of global optimal solution.关键词
非线性方程组/遗传算法/异种机制/自适应随机变异分类
建筑与水利引用本文复制引用
燕乐纬,陈树辉..基于改进遗传算法的非线性方程组求解[J].中山大学学报（自然科学版）,2011,50(1):9-13,5.基金项目
国家自然科学基金资助项目(10972240) （10972240）
