| 混沌微粒群优化算法及其在非线性函数参数估计中的应用 |
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| 引用本文： | 曹体涛,罗刊. 混沌微粒群优化算法及其在非线性函数参数估计中的应用[J]. 黑龙江工程学院学报, 2014, 28(5): 54-56 |
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| 作者姓名： | 曹体涛 罗刊 |
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| 作者单位： | 中国中铁二院工程集团有限责任公司,四川成都,610031 |
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| 摘 要： | 混沌微粒群优化算法是在微粒群优化算法的基础上引入混沌思想,提高算法的局部搜索能力,具有良好的性能.主要介绍微粒群算法的原理以及混沌优化思想,最后结合求解平面度误差证明混沌微粒群算法在非线性函数参数估计中的有效性及应用前景.
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| 关 键 词： | 微粒群优化算法 混沌原理 参数估计 平面度误差 |
Chaotic particle swarm optimization algorithm and its application to nonlinear function parameter estimation |
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| CAO Ti-tao,LUO Kan. Chaotic particle swarm optimization algorithm and its application to nonlinear function parameter estimation[J]. Journal of Heilongjiang Institute of Technology, 2014, 28(5): 54-56 |
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| Authors: | CAO Ti-tao LUO Kan |
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| Affiliation: | (China Railway No. 2 Engineering Group Co. Ltd. ,Chengdu 610031, China) |
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| Abstract: | Chaotic particle swarm optimization algorithm is an algorithm based on the introduction of chaotic thought, which improves the algorithm＇s local search capability, and has a good performance. It mainly introduces the principle of particle swarm optimization, as well as the chaos optimization idea, and finally combining with the two to solve flatness error is proves the effectiveness and the general application prospects of this algorithm for parameter estimation in nonlinear function. |
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| Keywords: | particle swarm optimization algorithm chaotic principle parameter estimation flatness error |
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