| 基于并行文化微粒群优化算法的非线性方程组解法 |
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| 引用本文： | 段志翔,余绪金,任力,吴烈阳.基于并行文化微粒群优化算法的非线性方程组解法[J].适用技术之窗,2010(5):27-29. |
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| 作者姓名： | 段志翔 余绪金 任力 吴烈阳 |
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| 作者单位： | [1]江西科技职业学院,江西南昌330200 [2]江西省高速公路联网管理中心,江西南昌330002 |
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| 摘 要： | 并行文化微粒群优化算法是一种改进的微粒群优化算法，具有较强的全局搜索能力。将非线性方程组的求解问题转化为函数优化问题，应用并行文化微粒群优化算法求解非线性方程组的解。计算中不需要使用目标函数的导数信息和初始点信息，数值实验结果表明了该算法的有效性和可行性。
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| 关 键 词： | 微粒群优化算法 文化算法 非线性方程组 函数优化 |
Solving Systems of Nonlinear Equations with CA-PSO |
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| Duan Zhixiang Yu Xujin Ren Li Wu Lieyang.Solving Systems of Nonlinear Equations with CA-PSO[J].Science & Technology Plaza,2010(5):27-29. |
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| Authors: | Duan Zhixiang Yu Xujin Ren Li Wu Lieyang |
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| Affiliation: | Duan Zhixiang Yu Xujin Ren Li Wu Lieyang(1.Jiangxi Science and Technology Institute, Jiangxi Nanchang 330200; 2.Highway Network Management Center of Jiangxi Province, Jiangxi Nanchang 330002) |
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| Abstract: | Parallel Particle Swarm Optimization based on Cultural Algorithm （CA-PSO） is an improved particle swarm optimization algorithm, which has strong global search ability. The problem of solving nonlinear equation and system problems is transferred to the problem of function optimization, and the CA-PSO is ap- plied to solving the problem. The derivative of objective function and initial point of information is not used in the computation. Numerical results show that the algorithm is feasible and effective. |
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| Keywords: | Particle Swarm Optimization Culture Algorithm Nonlinear System Function Optimization |
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