Study on particle swarm algorithm and its application in mechanical design based on MATLAB

Authors:
Xiao Qimin;Liu Liwei;Xiao Qili
Affiliations:
Fundamental Department, The First Aviation College of Air Force, Xinyang, Henan, P. R. China;Physical Department, Xinyang Normal University, Xinyang, Henan, P. R. China;School of Computer Science and Information Technology, Zhejiang Wanli University, Ningbo, Zhejiang, P.R. China
Venue:
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Year:
2009

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Abstract

Particle Swarm Optimization Algorithm is a good method in solving optimal problem. Mechanical springs are used in machines to exert force, to provide flexibility, and to store or absorb energy. The weight of spring is an important measure of quality. In this paper, we mainly introduce the Particle Swarm Optimization Algorithm and its application in helical spring based on MATLAB. Directed by the theory of Particle Swarm Optimization Algorithm, the complex helical spring optimal design model with three design variables and eleven inequality constraints conditions is established. When the model is simulated in MATLAB the minimal optimal value of variables and weight of helical spring can be obtained. Simulating Result shows that Particle Swarm Optimization is practical in solving complicated optimal design problems and effectively on avoiding constraint of solution.