计算机工程与应用2011，Vol.47Issue(9)：33-36,4.DOI:10.3778/j.issn.1002-8331.2011.09.009
求解非线性方程组的混合粒子群算法
Hybrid particle swarm optimization for solving systems of nonlinear functions.
摘要
Abstract
A Hybrid Particle Swarm Optimization(HPSO) algorithm,which combines the advantages of the method HookeJeeves(HJ) and Particle Swarm Optimization(PSO),is put forward to solve systems of nonlinear functions, and it can be used to overcome the difficulty in selecting good initial guess for HJ and inaccuracy of PSO due to being easily trapped into local optimal. The algorithm has sufficiently displayed the performance of PSO's global search and HJ's accurate local search. Numerical computations show that the approach has great robustness,high convergence rate and precision, and it can give satisfactory solutions.关键词
非线性方程组/Hooke-Jeeves算法/粒子群算法Key words
systems of nonlinear functions/Hooke-Jeeves/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
欧阳艾嘉,刘利斌,乐光学,李肯立..求解非线性方程组的混合粒子群算法[J].计算机工程与应用,2011,47(9):33-36,4.基金项目
国家自然科学基金重大研究计划(the Major Research Plan of National Natural Science Fund of China under Grant No.90715029) （the Major Research Plan of National Natural Science Fund of China under Grant No.90715029）
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60603053). （the National Natural Science Foundation of China under Grant No.60603053）
