计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (31): 224-226.

• 工程与应用 • 上一篇    下一篇

机械手优化的病毒进化型免疫克隆算法

申 燚,袁明新,王 琪   

  1. 江苏科技大学 机电与汽车工程学院,江苏 张家港 215600
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-11-01 发布日期:2011-11-01

Viros evolutionary immune clonal algorithm for optimization of manipulator

SHEN Yi,YUAN Mingxin,WANG Qi   

  1. School of Mechanical-Electronic and Automotive Engineering,Jiangsu University of Science and Technology,Zhangjiagang,Jiangsu 215600,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-11-01 Published:2011-11-01

摘要: 针对平动式轻型装卸机的机械手结构优化设计问题,在免疫克隆算法基础上,通过引入病毒协同进化机制,提出了一种新的病毒进化型免疫克隆优化算法。新算法主要对免疫变异后种群进行病毒感染操作,从而改善宿主种群的多样性,增强免疫克隆算法的局部搜索能力。实验结果表明,与其他优化算法相比,病毒进化型免疫克隆算法的搜索能力更强,收敛速度更快,明显改善了机械手结构的优化设计能力。

关键词: 机械手, 优化, 免疫克隆, 病毒感染

Abstract: To solve the optimization of manipulator of translation low loader,a new Virus Evolutionary Immune Clonal Algorithm(VEICA) is presented through introducing virus coevolutionary principles on the basis of immune clonal algorithm.In the proposed algorithm,the population after mutation is infected by virous to improve the diversity of host population and enhance the local searching ability of immune clonal algorithm.Compared with other correspondent optimization algorithms,the experiments show that the VEICA is characterized by strong searching ability and quick convergence speed,which obviously improves the optimization design ability of manipulator.

Key words: manipulator, optimization, immune clonal, virus infection