| 基于种群分类的变尺度免疫克隆选择算法 |
| |
| 引用本文： | 郭忠全,王振国,颜力.基于种群分类的变尺度免疫克隆选择算法[J].国防科技大学学报,2011,33(5):36-40. |
| |
| 作者姓名： | 郭忠全 王振国 颜力 |
| |
| 作者单位： | 国防科技大学航天与材料工程学院,湖南长沙,410073 |
| |
| 基金项目： | 国家自然科学基金资助项目(50975280,61004094); 教育部新世纪优秀人才支持计划资助项目(NCET-08-0149) |
| |
| 摘 要： | 提出了一种基于种群分类的变尺度免疫克隆选择算法.该算法通过对目标函数进行非线性尺度变换,突出了全局最优解的优势地位；建立记忆子群实现了种群代际进化信息的交换；依据亲和度将抗体分为精英子群、普通子群、劣等子群,并对其分别执行自适应高斯变异、均匀变异和消亡更新等策略,增强了算法的局部和全局搜索能力.引入小生境技术提高了抗体...
|
| 关 键 词： | 人工免疫 克隆选择 种群分类 变尺度 星载天线优化 |
| 收稿时间： | 2011/3/25 0:00:00 |
Mutative Scale Immune Clonal Selection Algorithm Based on Multi-population |
| |
| GUO Zhongquan,WANG Zhenguo and YAN Li.Mutative Scale Immune Clonal Selection Algorithm Based on Multi-population[J].Journal of National University of Defense Technology,2011,33(5):36-40. |
| |
| Authors: | GUO Zhongquan WANG Zhenguo and YAN Li |
| |
| Institution: | GUO Zhong-quan,WANG Zhen-guo,YAN Li(College of Aerospace and Material Engineering,National Univ.of Defense Technology,Changsha 410073,China) |
| |
| Abstract: | Mutative Scale Immune Clonal Selection Algorithm(MSICSA) based on Multi-population is proposed.In the algorithm,the dominant position of global optimal solution was highlighted by the nonlinear scale transformation of objective function.Memory sub-population was extracted to exchange information between populations.Antibody population was divided into elite,normal and inferior sub-population.To enhance local and global search capabilities of MSICSA,adaptive Gaussian and uniform mutation were applied to elit... |
| |
| Keywords: | artificial immune clone selection multi-population mutative scale space antenna optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《国防科技大学学报》浏览原始摘要信息 |
| 点击此处可从《国防科技大学学报》下载免费的PDF全文 |
