摘要
免疫算法产生的检测器集中,存在集合边界不清晰和个体分布不均匀的缺点。提出了一个免疫克隆选择检测器优化算法。通过对原检测器中个体的抗体克隆、变异和克隆选择操作,实现对检测器分布状况的优化。与其他免疫优化算法的对比仿真结果表明其不但具有较快的收敛速度和较好的稳定性,而且优化效果更为令人满意。
There are two shortcomings that boundary of sets of detectors lacks definition and distribution of detectors is asym- metric in sets of detectors produced by immune algorithm.An immune clone ＇selection algorithm is put forward.The contributing condition of detectors is optimized with antibodies clone,mutating and clone seletion.The result of simulation indicates that not only the algorithm has quick constringency speed and better stability,but also the result of optimizing is more satisfactory.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第36期70-72,共3页
Computer Engineering and Applications
基金
江西省教育厅科技计划基金项目(No.GJJ08272)~~
关键词
免疫算法
克隆选择
优化
immune algorithm
clone selection
optimizing
