Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (28): 42-43.DOI: 10.3778/j.issn.1002-8331.2008.28.013

• 理论研究 • Previous Articles     Next Articles

Solving nonlinear systems of equations based on Social Cognitive Optimization

SUN Jia-ze1,ZHANG Jian-ke2   

  1. 1.Department of Computer Science,Xi’an Institute of Posts and Telecommunications,Xi’an 710061,China
    2.Department of Mathematics and Physics,Xi’an Institute of Posts and Telecommunications,Xi’an 710061,China
  • Received:2008-04-08 Revised:2008-06-24 Online:2008-10-01 Published:2008-10-01
  • Contact: SUN Jia-ze



  1. 1.西安邮电学院 计算机系,西安 710061
    2.西安邮电学院 应用数理系,西安 710061
  • 通讯作者: 孙家泽

Abstract: The solving problem for nonlinear systems of equations is transformed to the function optimization problem,and then,Social Cognitive Optimization,a new Intelligent Optimization Algorithm,is introduced to achieve the optimal result for the problem.The experiment results manifest that Social Cognitive Optimization can be feasible and effective on solving the nonlinear systems of equations problems.

Key words: Social Cognitive Optimization(SCO), nonlinear system of equation, intelligent optimization algorithms

摘要: 将非线性方程组的求解问题转化为函数优化问题,应用一种新的智能优化算法——社会认知算法求解此优化问题,实验结果表明了社会认知算法在求解非线性方程组时的可行性和有效性。

关键词: 社会认知算法, 非线性方程组, 智能优化算法