| 基于前向PD控制的拟态物理学优化算法研究 |
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| 引用本文： | 杨琼琼,谢丽萍,曾建潮,张宏丽.基于前向PD控制的拟态物理学优化算法研究[J].太原科技大学学报,2013(4):254-260. |
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| 作者姓名： | 杨琼琼 谢丽萍 曾建潮 张宏丽 |
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| 作者单位： | 太原科技大学复杂系统与计算智能实验室,太原030024 |
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| 基金项目： | 山西省青年科学基金（2011021014-1）;太原科技大学博士启动基金（20112009）;山西省UIT项目（2011254） |
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| 摘 要： | 针对拟态物理学算法局部搜索能力弱的缺陷，提出一种在拟态物理学算法模型中前向引入PD控制器的改进算法，通过对APO算法的位置迭代公式化简后进行z变换，并前向引入PD控制器，再通过z反变换，并化简得到位置的迭代公式和速度的迭代公式，从而得出APO的改进模型APO-PD，最后通过低维和高维的函数性能测试说明了改进的APO算法的有效性。
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| 关 键 词： | 拟态物理学算法 PD控制器 APO-PD z变换 |
Adaptive Artificial Physics Optimization with PD Controller |
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| YANG Qiong-qiong,XIE Li-ping,ZENG Jian-chao,ZHANG Hong-li.Adaptive Artificial Physics Optimization with PD Controller[J].Journal of Taiyuan University of Science and Technology,2013(4):254-260. |
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| Authors: | YANG Qiong-qiong XIE Li-ping ZENG Jian-chao ZHANG Hong-li |
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| Institution: | ( Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, China) |
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| Abstract: | To solve the disadvantage of poor local searching ability, an improved on the forward PD control through introducing the PD controller as a forward to optimization was presented based the APO （APO-PD）. By carrying out z-transformation on the simplified algorithmic model, and introducing the PD controller into the front path of the model, then carrying out z-l-transformation on the new model, and simplifying the algorithmic model, a APO-PD was got. Finally,the relative function tests in low dimension and multi-dimension show that the APO-PD performs effectively. |
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| Keywords: | artificial physics optimization PD controller APO-PD z-transformation |
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