|
二维码（扫一下试试看！） |
| 基于免疫遗传算法的低噪声轮胎花纹结构参数优化 |
| Optimization of structural parameters of tread patterns based on immune genetic algorithm |
| |
| DOI： |
| 中文关键词: 轮胎；花纹噪声；免疫遗传算法；节距 |
| 英文关键词: tire；tread patterns' noise；immune genetic algorithm；pitch |
| 基金项目: |
| 中图分类号:TQ336.1；TB533＋.2 |
| Author Name | Affiliation | | CHEN Li-jun | Wuhan University of Technology | | HE Can | Wuhan University of Technology | | LI Fu-jun | Beijing Research and Design Institute of Rubber Industry | | WU Gui-zhong | Beijing Research and Design Institute of Rubber Industry |
|
| Hits: 603 |
| Download times: 500 |
| 中文摘要: |
| 在遗传算法的基础上引入免疫概念，提出免疫遗传算法，并进行轮胎花纹结构参数优化。免疫遗传算法有效克服了遗传算法易退化、早熟、速度慢和解单样性等缺陷，加强了轮胎花纹低噪声优化过程中的收敛性和优化适应性，提高了优化速度和可信度，并能使解多样性，扩大了设计选择空间。 |
| 英文摘要: |
| The immune concept was introduced based on the genetic algorithm to propose an immune genetic algorithm，by which the structural parameters of tread patterns were optimized.The defects，such as susceptive degeneration，premature，low speed and monosolution of genetic algorithm，were eliminated by using immune genetic algorithm，at the same time，the convergence during the optimization of tread patterns noise and the adaptability of optimization improved，the speed and confidence of optimization increased，and the multi-solutions were obtained to provide more choices in design. |
|
View Full Text
View/Add Comment Download reader |
| Close |
