Mechanical design and optimization based on multi-swarm bacterial foraging optimization

doi:10.16731/j.cnki.1671-3133.2017.09.025

Modern Manufacturing Engineering ›› 2017, Vol. 444 ›› Issue (9): 144-149.doi: 10.16731/j.cnki.1671-3133.2017.09.025

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Mechanical design and optimization based on multi-swarm bacterial foraging optimization

Yan Xiaohui¹, Zhang Zhicong¹, Guo Jianwen¹, Ma Lianbo²

1 School of Mechanical Engineering,Dongguan University of Technology,Dongguan 523808,Guangdong,China;
2 School of Software, Northeastern University,Shenyang 110819,China

Received:2016-02-05 Online:2017-09-20 Published:2018-01-09

Abstract

Abstract: To overcome the disadvantage of traditional methods in solving the problem of mechanical optimization,a Multi-Swarm Bacterial Foraging Optimization (MSBFO) algorithm was proposed,which uses the idea of commensalism in nature.In the algorithm,two swarms were used to represent the feasible population and infeasible population,to simulate the co-evolution,in order to solve the constrained mechanical design optimization problem.Adaptive step lengths in chemotaxis and equilibrium strategy in reproduction are also used in MSBFO.To validate the optimization design ability of proposed algorithm,tested it on instances of pressure vessel design and welded beam optimization design,and compared its results with several other algorithms.Test results show that the proposed MSBFO algorithm outperforms most comparison algorithms both on the optimal value and the stability of the results,and can be used for mechanical design optimization very well.

Key words: mechanical design, constrained optimization, Multi-Swarm Bacterial Foraging Optimization(MSBFO), coevolution

CLC Number:

TP391

Yan Xiaohui, Zhang Zhicong, Guo Jianwen, Ma Lianbo. Mechanical design and optimization based on multi-swarm bacterial foraging optimization[J]. Modern Manufacturing Engineering, 2017, 444(9): 144-149.

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Mechanical design and optimization based on multi-swarm bacterial foraging optimization

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