基于动态自适应性的克隆选择算法改进研究  

Improvement of Clonal Selection Algorithm Based on Dynamic Adaptability

作　　者：李德新[1] 谢闰根[2] LI De-xin;XIE Run-gen(School of Science and Technology,Gannan Normal University,Ganzhou 341000,China;Nanchang Normal University,Nanchang 330029,China)

机构地区：[1]赣南师范大学科技学院,江西赣州341000 [2]南昌师范学院,江西南昌330029

出　　处：《南昌师范学院学报》2020年第3期37-40,共4页Journal of Nanchang Normal University

基　　金：江西省教育厅科技项目,编号:GJJ181541。

摘　　要：目前,人工免疫系统是计算机科学和生命科学相交叉的研究热点。文章所研究的克隆选择算法是人工免疫算法的一种,它主要是受生物免疫机制的启发而提出来的一种新型算法,它具备较好的先验知识和自适应的能力,在处理各种复杂的优化问题上,具有优良的性能和效率。At present,artificial immune system(AIS)is an interdisciplinary research hotspot of computer science and lifescience.The clonal selection algorithm studied in this paper is one of artificial immune algorithms.It is a new algorithm mainly inspired by biological immune mechanism with good prior knowledge and adaptive ability,having excellent performance and efficiency in dealing with various complex optimization problems.

关 键 词：人工免疫系统 克隆选择算法 自适应性 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]