A novel artificial immune algorithm applied to solve optimization problems

被引：0

作者：

Li, CH ^{[1
]}

Zhu, YF ^{[1
]}

Mao, ZY ^{[1
]}

机构：

[1] S China Univ Technol, Coll Automated Sci & Engn, Guangzhou 510640, Peoples R China

来源：

2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3 | 2004年

关键词：

multi-objective optimization; artificial immune algorithm; evolutionary algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the paper, we discuss multi-objective (MO) optimization problems solved by artificial immune algorithm. We present a novel artificial immune algorithm for MO optimization (AIAMOO) and analyze its powerful performance from the immune system point of view. Finally, the AIAMOO is applied to solve two complex MO optimization problems and the results can perfectly map the Pareto-optimal front. It shows the good prospect to apply artificial immune system to solve MO optimization problems.

引用

页码：232 / 237

页数：6