Optimization Of Electromagnetic Device Based On Improved Artificial Searching Swarm Algorithm

Multi-objective optimization problem exists widely in the engineering field.One of main characteristics of it is that there are conflicts and restrictions among the various objectives and there is no single solution can make all the objectives achieve the best value at the same time.Therefore,it is of great significance to study an effective algorithm to find a set of equilibrium points among the objectives,and then to solve the multi-objective optimization problem.Meanwhile,with an increasing wide range of applications of electromagnetic devices in life,people also put forward higher requirements of them.The optimization design of electromagnetic devices can effectively improve their working performances and economic indicators.With the development of bionic intelligent optimization algorithm in multi-objective research,using it to solve the multi-objective optimization design of electromagnetic device will become a hot research topic.Artificial search swarm algorithm is a kind of bionic intelligent optimization algorithm developed in recent years,which simulates typical behaviors of human soldiers during a search mission.Based on the analysis of multi-objective optimization theory,multi-objective evolutionary algorithm and multi-objective particle swarm algorithm,a multi-objective artificial search algorithm is proposed and applied to solve the optimization design of the 72.5kV vacuum interrupter.The main research content of this paper includes:Firstly,the basic theories of multi-objective optimization and artificial search swarm algorithm are analyzed.Based on those analyses,the Pareto theory is introduced into the algorithm.Through the construction of an external file to save and export non-dominated solutions,as well as the design of a series of key operators,the improvement of artificial search swarm algorithm is completed,which has the ability to solve the multi-objective optimization problem.Then seven classic two-objective test functions and two classic three-objective test functions are selected to test the proposed algorithm.The optimization results prove the good performance of multi-objective artificial search swarm algorithm.Subsequently,this paper takes the 72.5kV vacuum interrupter as research object,analyzes its key dimension parameters and uses ANSYS software to establish a twodimensional finite element model of it.Then a multi-objective optimization problem which is as improving the internal electric field of the vacuum interrupter while minimizing the size of its contacts has been proposed.Multi-objective artificial search swarm algorithm has been successfully applied to solve this problem,which verifies the validity and practicability of the algorithm in solving the practical engineering problems.