改进型多目标粒子群优化算法在波纹管结构优化设计中的应用  

Improved Multi-objective Particle Swarm Optimization which is Introduced into the Bellows Structure Optimization Design Process

作　　者：于晓默[1] 薛加海[1] 秦爱玲[1] 周文景[1] 叶俊科[1] 

机构地区：[1]广西大学机械工程学院,广西南宁530004

出　　处：《机电产品开发与创新》2013年第1期22-24,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：将采用了协同搜索策略的改进的多目标粒子群优化算法,引入到波纹管结构优化设计过程中,以波纹管最小整体刚度和最小质量为优化目标,建立多目标优化设计模型,设计合理的波纹管结构参数。优化算例的结果表明,使用改进型多目标粒子群优化方法,能有效逼近实际在用的波纹管结构设计性能甚至更佳,寻找到最佳的结构优化设计参数组,从而为用户提供更为直观有效的设计参考。This paper will adopt a cooperative search strategy improved multi-objective particle swarm optimization algorithm which is introduced into the bellows structure optimization design process.With the minimum overall stiffness of the bellows and the minimum mass for the optimization objectives to establish a multi-objective optimization design model so that design reasonable bellows structural parameters.The optimizational results of the example show that using the improved multi-objective particle swarm optimization method can effectively approximate the actual bellows structure in design performance and even better.In order to find the best structure to optimize the design parameters,this paper provide users with more intuitive and effective design reference.

关 键 词：波纹管 结构设计 多目标粒子群优化 

分 类 号：TB47[一般工业技术—工业设计]