Applying Particle Swarm Optimization and Differential Evolution Combined with Finite Element Method to Optimize Cable
Zhipeng Jiang, Xishan Wen, Xiaoqing Yuan · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
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, selflearning, 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 highvoltage equipment in aspects of electromagnetic field.