Base Station Deployment Based On Arti.cial Immune Systems

摘要：

This work describes a novel approach to the base station deployment problem based on artificial immune systems. It is a multi-objective optimisation problem (MOP), since it involves a large number of variables and design constraints. The multi-objective optimisation algorithms based on artificial immune systems (MO-AIS) are a new class of evolutionary algorithms. The Binary-coded Multi-objective Optimisation Algorithm (BRMOA) is presented and is the basis of the new optimisation strategy. The procedure is applied to a realistic scenario. Preliminary results are presented and a thorough analysis is provided. Results are compared to previous works and indicate the feasibility of the optimisation strategy in solving a base station deployment problem.

作者: Djalma de Melo Carvalho Filho Marcelo Sampaio de Alencar

作者单位: Department of Electrical Engineering,Federal University of Campina Grande,Av.Aprigio Veloso,882,Campina Grande,Brazil,CEP 58109-970

会议类型: 国际会议

会议名称: The 11th IEEE International Conference on Communications Systems(第11届电子和电气工程师协会国际通信系统会议)(IEEE ICCS 2008)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-11-19（万方平台首次上网日期，不代表论文的发表时间）