多目标优化量子免疫算法求解基站选址问题

Multi-objective optimization quantum immune algorithm for solving base stations location planning problem

为了解决带容量约束WCDMA网络的基站选址问题,提出了一个基于多目标优化量子免疫算法的基站选址优化方案.设计了基站选址问题的数学模型,给出了多目标优化量子免疫算法框架,并进行了实验验证.实验结果表明:算法方案能以较小的基站建设代价满足覆盖要求,具有较好应用价值.

To solve the base station locations problem of WCDMA （wideband code division multiple access） with capacity constraint, a solution of optimization locations based on multi-obiective optimization quantum immune algorithm was proposed. The mathematical model of the base station locations problem was expounded, the framework of multi-objective optimization quantum immune algorithm was given, and simulation experiments were carried out to validate algorithm. Experimental result shows that the proposed solution of optimization locations can meet the requirement for network covers with low cost of network construction relatively with application value.