| 机械手旋转移送机构的爆发式免疫优化 |
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| 引用本文： | 江亚峰,申燚,王明强,袁明新,王琪.机械手旋转移送机构的爆发式免疫优化[J].机械与电子,2012(10):65-67. |
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| 作者姓名： | 江亚峰 申燚 王明强 袁明新 王琪 |
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| 作者单位： | 江苏科技大学机电与汽车工程学院,江苏张家港215600 |
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| 基金项目： | 江苏科技大学教育教学改革研究课题（GX20111027）;张家港校区教改教研重点课题--机械原理课程创新实践教学的探索与研究;江苏科技大学第八届“创新杯”大学生课外学术科技作品训练计划 |
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| 摘 要： | 针对生产机械手旋转移送机构的优化设计问题,在免疫遗传算法(IGA)的基础上,先通过爆发式进化方式产生优势种群,然后与原种群进行杂交、基因比对等操作,从而提出了一种新型爆发式免疫进化算法(EIGA)。仿真实验结果表明,与遗传算法(GA)、IGA相比,EIGA具有收敛速度快、优化精度高和稳定性好的优点,能更好地实现机械手旋转移送机构的有效优化。
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| 关 键 词： | 爆发式进化 免疫遗传算法 旋转移送机构 机械手 |
Explosive Immune Optimization for Rolling Transport Mechanism of Manipulator |
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| JIANG Ya- feng,SHEN Yi,WANG Ming- qiang,YUAN Ming- xin,WANG Qi.Explosive Immune Optimization for Rolling Transport Mechanism of Manipulator[J].Machinery & Electronics,2012(10):65-67. |
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| Authors: | JIANG Ya- feng SHEN Yi WANG Ming- qiang YUAN Ming- xin WANG Qi |
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| Affiliation: | (School of Mechanical Electronic and Automotive Engineering,Jiangsu University of Science and Technology, Zhangjiagang 215600 ,China) |
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| Abstract: | To solve the optimization design ot rolling transport mechanism of manipulator, a novel explosive immune genetic algorithm （EIGA） on the basis of immune genetic algorithm （IGA） is presented. The dominant population of EIGA is achieved firstly through the explosive evolutionary mode, and then it is crossed and compared with the original population. The simulation results show that, compared with the genetic algorithm （GA） and IGA, the EIGA is characterized by the quick convergence speed, high optimization precision and good stability, the optimization design nism. which obviously improves ability of transport mechanism. |
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| Keywords: | explosive evolution immune genetic algorithms rolling transport mechanism manipu-lator |
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