一种改进的混合蛙跳算法及其在变压器设计中的应用  

An improved shuffled frog leaping algorithm and its application in design of transformer

作　　者：杜江[1] 袁中华[1] DU Jiang;YUAN Zhonghua(Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China)

机构地区：[1]河北工业大学电磁场与电器可靠性省部共建重点实验室,天津300130

出　　处：《安徽大学学报（自然科学版）》2018年第3期47-52,共6页Journal of Anhui University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(51107029);河北省自然科学基金资助项目(E2016202134);河北省人社厅科研项目(A2013007001);河北省科学技术研究与发展科研项目(13210129);河北省高等学校创新团队领军人才培育计划项目(LJRC003)

摘　　要：提出一种求解约束优化问题的自适应混合蛙跳算法.引入移动步长变异算子,通过算法所处迭代阶段的测量值和进步速度自适应调整移动步长.3种典型直径的变压器铁心柱截面优化设计仿真结果表明,该算法具有更强的全局搜索能力,达到了增大截面积、节省生产材料、降低运行损耗的目的.An adaptive shuffled frog leaping algorithm for solving the constrained optimization problems was proposed in this paper.The mobile step mutation operator was introduced and through measurement of iterative phase and progress rate of the algorithm adjusted the size of mobile step adaptively.The simulation experiments of three kinds of typical diameter of transformer core column section optimization were design.The result showed that the algorithm had better global searching ability,increased the cross-sectional area,saved the production materials and reduced the loss of running.

关 键 词：混合蛙跳算法 约束优化 变异算子 变压器 截面优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]