免疫记忆克隆算法求解3G基站选址优化问题  

Immune memory clone algorithm for location optimization of 3G base stations

作　　者：朱思峰[1,2] 陈国强[1] 张新刚[3] 

机构地区：[1]西安电子科技大学计算机学院,陕西西安710071 [2]周口师范学院数学与信息科学系,河南周口466001 [3]南阳师范学院计算机科学系,河南南阳473061

出　　处：《华中科技大学学报（自然科学版）》2011年第7期63-66,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61003199);河南省教育厅自然科学研究计划资助项目(2010A520050;2011B520030);河南省重点科技攻关项目(102102210388)

摘　　要：从免疫学的角度出发,研究了免疫系统体液免疫应答原理,基于免疫应答机制,模拟了人体免疫系统的克隆选择、细胞选择、记忆细胞获取、抗体浓度调节等机制,提出了一种新的免疫优化算法.设计了基站选址优化问题的数学模型,给出了一种基于免疫计算的基站选址优化方案,并对所提出的算法进行了收敛性分析.仿真结果表明:所提方案能以相对较低的网络建设成本获得较高的网络覆盖率,具有较好的应用价值.The immune response principle of immune system body fluid was studied from the perspective of immunology. Simulate the human immune system mechanism （such as clonal selection mechanism, cell selection mechanism, memory cell access mechanism, regulation mechanism of antibody concentration） was simulated based on immune response principles, a novel immune optimization algo- rithm was proposed, the mathematical model of base station location optimization was expounded. A solution of base station location optimization based on immune algorithm was proposed, and conver- gence analysis of the proposed algorithm was given. Experimental result shows that the given solution can obtain high network coverage with low cost of network construction relatively.

关 键 词：3G网络 基站选址优化 优化方案 免疫优化算法 数学模型 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]