期刊文献+

基于粒子群算法的非线性方程组求解 被引量:27

SOLVING NONLINEAR SYSTEMS OF EQUATIONS BASED ON PARTICLE SWARM OPTIMIZATION
下载PDF
导出
摘要 将非线性方程组的求解问题转化为无约束极大极小优化问题,并应用一种新的进化计算(EC)方法———粒子群算法(PSO)求解此优化问题。数值实验的结果验证了该方法的可行性和有效性。 The solving problem for nonlinear systems of equations is transformed to the unconstrained minimax optimization problem, and then,the particle swarm optimization (PSO) algorithm which is a new evolutionary computation (EC) method is used for solving the minimax problem. Numerical results show the feasibility and efficiency of this method.
出处 《计算机应用与软件》 CSCD 北大核心 2006年第5期137-139,共3页 Computer Applications and Software
关键词 粒子群算法 非线性方程组 极大极小问题 Particle swarm optimization Nonlinear system of equation Minimax problem
  • 相关文献

参考文献6

  • 1蔡大用 白峰杉.现代科学计算[M].北京:清华大学出版社,2001..
  • 2孔敏,沈祖和.解非线性方程组的极大熵方法[J].高等学校计算数学学报,1999,21(1):1-7. 被引量:13
  • 3Kennedy J,Eberhart R.Particle swarm optimization[A].Proceedings of IEEE International Conference on Neural Networks(ICNN'95)[C].Perth,WA,Australia,1995,1942~1948.
  • 4Eberhart R,Kennedy J.A new optimizer using particle swarm theory[A].Proceedings of Sixth International Symposium on Micro Machine and Human Science[C].Nagoya,Japan:Nagoya Municipal Industrial Research Institute,1995,39~43.
  • 5Shi Yu-hui,Eberhart R.Parameter selection in particle swarm optimization[A].Proceedings of 7th Annual Conference on Evolutionary Programming[C].March 1998,591~601.
  • 6Ray T,Liew K M.A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimization problems[A].Proceedings of IEEE International Conference on Evolutionary Computation[C].South Korea:IEEE Press,Seoul,2001,75~80.

二级参考文献7

共引文献16

同被引文献149

引证文献27

二级引证文献90

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部