Applying Particle Swarm Optimization and Differential Evolution Combined with Finite Element Method to Optimize Cable

DOI

10.2991/iccsee.2013.46How to use a DOI?

Keywords

particle swarm optimization, differential evolution algorithm, finite element method, cable, optimization

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhipeng Jiang
AU  - Xishan Wen
AU  - Xiaoqing Yuan
PY  - 2013/03
DA  - 2013/03
TI  - Applying Particle Swarm Optimization and Differential Evolution Combined with Finite Element Method to Optimize Cable
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 174
EP  - 177
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.46
DO  - 10.2991/iccsee.2013.46
ID  - Jiang2013/03
ER  -