Optimization Design Algorithm Based on Artificial Immune System for Mechanical Systems

摘要：

In order to solve the nonlinear constraint problem,a new and feasible optimization algorithm, i.e. the distance concentration artificial immune algorithm (DCAIA), was presented and applied to structural optimization design.The distance concentration and the affinity, between antibody and antigen, and between antibody and antibody, were defined. The proposed algorithm was applied in the optimization design for the mechanical systems. The example shows it is better for an axis design than that of the gene algorithm (GA) and the classical artificial immune algorithm (CAIA).

作者: Tao Liu FengWen Cao Yan Zhou

作者单位: Suzhou Vocational University 1158 Yuehu road, Suzhou, P.R.China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 612-615

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）