| 基于粒子群算法的汽车扭杆悬架弹簧优化 |
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| 引用本文： | 谢标长.基于粒子群算法的汽车扭杆悬架弹簧优化[J].企业技术开发,2011(17). |
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| 作者姓名： | 谢标长 |
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| 作者单位： | 江西铜业集团公司德兴铜矿; |
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| 摘 要： | 为提高粒子群算法(Particle Swarm Optimization,PSO)寻优的全局性能,文章在基本粒子群算法中引入混沌理论(Chaos)的Logistic映射,并将改进后的算法运用到汽车扭杆悬架弹簧的优化设计中。数值实验的结果表明,与传统PSO算法相比,改进后的算法具有更强的全局收敛性,与传统设计方法相比,使用本文算法设计出的汽车扭杆弹簧的变形势能要高出1.6%,有效地提高了其避振效果。
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| 关 键 词： | 群智能 粒子群算法 优化设计 Logistic映射 |
The optimization of automotive torsion bar suspension springs based on particle swarm |
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| XIE Biao-chang.The optimization of automotive torsion bar suspension springs based on particle swarm[J].Technological Development of Enterprise,2011(17). |
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| Authors: | XIE Biao-chang |
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| Institution: | XIE Biao-chang (Dexing Copper,Jiangxi Copper Corporation,Dexing,Jiangxi 334224,China) |
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| Abstract: | To improve the PSO(Particle Swarm Optimization,PSO)optimization of global performance,this article introduced in elementary particle swarm Chaos Theory(Chaos)of the Logistic map and the improved algorithm applied to the automobile torsion bar suspension Spring optimized design.Numerical experimental results show that,compared with the traditional PSO algorithm improved algorithm has more global convergence,compared with the traditional design method,using this algorithm to design the car's deformed torsion ... |
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| Keywords: | swarm intelligence particle swarm optimization(PSO) optimization Logistic map |
| 本文献已被 CNKI 等数据库收录！ |
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