Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (22): 219-222.

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Optimization design of electromagnetic devices based on combination of compactly supported radial basis function and differential evolution algorithm

LI Kewei1, LI Xiaoqian1, XU Zhengxi1, LEI Gang2   

  1. 1.Wuhan Second Ship Design and Research Institute, Wuhan 430064, China
    2.College of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Online:2013-11-15 Published:2013-11-15

联合紧支径向基函数和微分进化算法的电磁优化方法

李可维1,李小谦1,徐正喜1,雷  刚2   

  1. 1.武汉第二船舶设计研究所,武汉 430064
    2.华中科技大学 电气与电子工程学院,武汉 430074

Abstract: Aiming at engineering optimal design of electromagnetic devices, this paper proposes the optimization method based on a combination of compactly supported radial basis function approximation model and the improved differential evolution algorithm. Model the explicit function of complicated objective function and constraint for multi-dimensional design space structure by Compactly Supported Radial Basis Function(CSRBF). Obtain the high accuracy global optimal solution by the combination of improved differential evolution algorithm. The analysis result shows that the new method of convergence rate and the optimize efficiency have obvious advantages compared to other random class.

Key words: electromagnetic device, differential evolution algorithm, compactly supported radial basis function, optimization design

摘要: 针对工程电磁装置的优化设计问题,提出一种基于紧支径向基函数的近似模型和改进微分进化算法的组合优化方法。利用基于紧支径向基函数的近似模型得到多维设计空间中构造复杂目标函数和约束函数的显式函数关系。结合改进的微分进化算法获得精确度较高的全局最优解。实例分析和比较表明新方法的收敛速度和优化效率相对于其他的随机类优化算法和模型有明显的优势。

关键词: 电磁装置, 微分进化算法, 紧支径向基函数, 优化设计