电器与能效管理技术Issue(10)：6-11,6.DOI:10.16628/j.cnki.2095-8188.2017.10.002
基于改进人工搜索群算法的多目标电磁装置优化
Optimization of Multi-Objective Electromagnetic Device Based on Improved Artificial Searching Swarm Algorithm
范佳莹 1陈堂功 1郝文韬2
作者信息
- 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
- 2. 河北工业大学 电气工程学院, 天津 300130
- 折叠
摘要
Abstract
This paper briefly discussed the basic theories of multi-objective optimization problem and artificial searching swarm algorithm.Based on it,the Pareto theory was introduced into the artificial searching swarm algorithm to improve the algorithm and proposed a multi-objective artificial searching swarm algorithm(MOASSA).Then four multi-objective function examples were selected to test the proposed algorithm.By comparing with other multi-objective optimization algorithms,the validity of the MOASSA was proved.Subsequently,taking the double E-type AC contactor as research object,the multi-objective artificial searching swarm algorithm was successfully applied to solve this problem.The result verifies the validity and practicability of the proposed algorithm in solving the practical engineering problems.A reliable method was provided for solving the optimization problems of electromagnetic field.关键词
多目标优化/人工搜索群算法/Pareto理论/交流接触器/电磁装置Key words
multi-objective optimization/artificial search swarm algorithm/Pareto theory/AC contactor/electromagnetic equipment分类
信息技术与安全科学引用本文复制引用
范佳莹,陈堂功,郝文韬..基于改进人工搜索群算法的多目标电磁装置优化[J].电器与能效管理技术,2017,(10):6-11,6.
