Applying Particle Swarm Optimization and Differential Evolution Combined with Finite Element Method to Optimize Cable
Particle swarm optimization (PSO) and differential evolution (DE) algorithm are biologically inspired computing,which simulate the behavior of survival of the fittest from the systems of nature biology,ecology and so on.As heuristic random algorithms,they have characteristics of self-adaptation,self-organization,self-learning,etc.PSO and DE can be used to solve various complex problems that are difficult by using traditional calculation methods.Based on the platform of ANSYS finite element soft,parametric programming of a single-phase cable and a three-phase cable is accomplished in the paper by using ANSYS parameter design language (APDL).Optimization calculation of the maximum electric field strength of cable insulation layer is realized by PSO and DE combined with finite element method (FEM).That biologically inspired computing combined with FEM provides reference and enlightenment for optimizing high-voltage equipment in aspects of electromagnetic field.
particle swarm optimization differential evoluti on algorithm finite element method cable optimization
Zhipeng Jiang Xishan Wen Xiaoqing Yuan
School of Electrical Engineering Wuhan University Wuhan,China
国际会议
杭州
英文
174-177
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）