| 基于粒子群算法的非线性方程组求解 |
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| 引用本文： | 陈长忆,叶永春. 基于粒子群算法的非线性方程组求解[J]. 计算机应用与软件, 2006, 23(5): 137-139 |
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| 作者姓名： | 陈长忆 叶永春 |
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| 作者单位： | 电子科技大学软件学院,四川,成都,610054;泸州职业技术学院,四川,泸州,646005 |
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| 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。
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| 关 键 词： | 粒子群算法 非线性方程组 极大极小问题 |
| 收稿时间： | 2005-05-18 |
| 修稿时间： | 2005-05-18 |
SOLVING NONLINEAR SYSTEMS OF EQUATIONS BASED ON PARTICLE SWARM OPTIMIZATION |
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| Chen Changyi,Ye Yongchun. SOLVING NONLINEAR SYSTEMS OF EQUATIONS BASED ON PARTICLE SWARM OPTIMIZATION[J]. Computer Applications and Software, 2006, 23(5): 137-139 |
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| Authors: | Chen Changyi Ye Yongchun |
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| Abstract: | 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. |
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| Keywords: | Particle swarm optimization Nonlinear system of equation Minimax problem |
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