| 基于改进免疫遗传算法的机械零件的结构优化 |
| |
| 引用本文： | 张干清,龚宪生. 基于改进免疫遗传算法的机械零件的结构优化[J]. 中南大学学报(自然科学版), 2011, 42(11) |
| |
| 作者姓名： | 张干清 龚宪生 |
| |
| 作者单位： | 1. 重庆大学机械传动国家重点实验室,重庆,400044
2. 重庆大学机械传动国家重点实验室,重庆,400044;重庆大学机械工程学院,重庆,400044 |
| |
| 基金项目： | 国家高技术研究发展计划("863"计划)重点项目，重庆市科技攻关计划项目，重庆大学机械传动国家重点实验室自主研究基金资助项目 |
| |
| 摘 要： | 鉴于现有免疫遗传算法其收敛差的问题,剖析其理论体系本身存在的6大弊端,提出6条全新的免疫策略,以加快算法的收敛速度并提高其收敛精度.同时,对实码抗体与变量向量之间的关系进行阐述,将复杂的算法机理用图形直观地描述出来,以便于对免疫遗传算法的理解与实际操作；将可靠性分析的随机摄动法与其灵敏度分析相结合,对随机参数的概率分布为任意形状的机械零件计算其可靠度及其灵敏度的函数表达式,并创建可靠度对设计变量的灵敏度最低与体积最小的两目标数学模型；提出实现目标函数值之间保持动态平衡的全新模型,以实现上述两目标函数与像集法的对接；最后,以盾构机三级行星减速器轴为例,按照上述思想建立数学模型,编写改进的免疫遗传算法的MATLAB程序对其进行优化.研究结果表明:该算法的鲁棒性使行星减速器轴的总体积减小13.65％,与改进前相比,所提出的免疫遗传算法具有更快的收敛速度与更高的收敛精度.
|
| 关 键 词： | 免疫遗传算法 可靠性设计 灵敏度分析 结构优化 |
Structural optimization for mechanical elements by modified immune genetic algorithm |
| |
| ZHANG Gan-qing,GONG Xian-sheng. Structural optimization for mechanical elements by modified immune genetic algorithm[J]. Journal of Central South University:Science and Technology, 2011, 42(11) |
| |
| Authors: | ZHANG Gan-qing GONG Xian-sheng |
| |
| Affiliation: | ZHANG Gan-qing1,GONG Xian-sheng1,2 (1.State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China,2.College of Mechanical Engineering,China) |
| |
| Abstract: | In view of the low convergence of the current immune genetic algorithm(IGA),6 inherent drawbacks were found existing in the current rationale of IGA.For these reasons,6 new immune strategies which were corresponded to above drawbacks were put forward to accelerate the convergence speed and precision.The relationship between real-coded antibodies and variables vector was also presented,and the complicated algorithm mechanism was intuitively described by graphic,which made people understood easily and practic... |
| |
| Keywords: | immune genetic algorithm reliability design sensitivity analysis structure optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
