Research of an Artificial Immune Algorithm and Its Application in Optimization
The immune response was the main function of the immune system to protect the organism avoid the damage of antigens intrusion. An artificial immune algorithm, which based on the immune response mechanism, was proposed in this paper. It adopts the kernel function to compute the anity between antibody and antigen. The knowledge was acquired by the process of antibody mutation. The learning process was unsupervised. The optimization results indicated that it has shown fascinating characteristic of self-learning, self-adaptive and self-stability.
Yaoguang Wei Deling Zheng Ming Sun
College of Information and Electrical Engineering China Agriculture University Beijing, P.R China 10 College of Information and Engineering University of Science and Technology Beijing Beijing, P.R Chi
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）