混合遗传算法及其在减载缓释机构中的应用  

Soft Release Mechanism Optimization with Hybrid Genetic Algorithm

作　　者：戴永辉[1] 赵美英[1] 安军[2] 杨虎军[1] 

机构地区：[1]西北工业大学航空学院,西安710072 [2]中国运载火箭技术研究院,北京100076

出　　处：《机械科学与技术》2016年第3期448-452,共5页Mechanical Science and Technology for Aerospace Engineering

摘　　要：针对传统遗传算法早熟与收敛性差的问题,对遗传机制提出了改进策略,并与粒子群算法相混合,建立了一种混合遗传算法。该算法进一步被应用于火箭减载缓释机构的套筒外形优化问题。采用PATRAN的二次开发语言PCL对减载缓释机构进行参数化建模,通过对套筒的外形进行离散与优化,得到了满足Keepers提出的缓释特性的套筒外形。优化结果表明,混合遗传算法收敛速度较快,可行性高,有很好的工程适用性。In order to overcome the shortage of prematurity and poor astringency of conventional genetic algorithms,a modified genetic algorithm strategy was proposed and mixed with particle swarm optimization to build a hybrid genetic algorithm. The algorithm was further applied to shape optimization of the sleeve of soft release mechanism.The parameteric model of the soft release mechanism was built by using the Patran Command Language. The sleeve shape was discretized and optimized,the sleeve shape with the soft release characteristics proposed by Keepers was achieved. The optimization result shows that the proposed hybrid genetic algorithms converges faster and has better feasibility compared with conventional genetic algorithms.

关 键 词：混合遗传算法 PCL 减载缓释机构 结构优化 

分 类 号：V475.1[航空宇航科学与技术—飞行器设计]