广东工业大学学报Issue(2)：64-68,131,6.DOI:10.3969/j.issn.1007-7162.2015.02.012
改进粒子群优化算法及其在4G 网络基站选址中的应用
Improved Particle Swarm Optimization and Its Application in 4G Network Base Station Location
摘要
Abstract
Since the PSO search accuracy is not high and its easy falling into the disadvantage of local minimum as a whole , this article proposes an improved particle swarm optimization algorithm .On the one hand the updated velocity formula using the weighted value of individual extreme of particles in particle swarm replaces the individual extreme of particles in this algorithm .On the other hand this improvement effectively enhances the convergence speed and optimal global searching ability of the particle swarm opti -mization by adjusting the inertia weight of two non-linear decreasing function .Then , the researchers veri-fy the global convergence and optimal searching ability of the improved algorithm by simulating the four reference functions.Finally, the improved algorithm is applied to the optimized location of a 4G network base station in a city of the Pearl River Delta region .The results and applications demonstrate that the im-proved particle swarm optimization possesses greater optimized convergence speed and global searching a -bility.关键词
粒子群优化算法/加权值/惯性权重/收敛寻优/4G网络基站Key words
Particle Swarm Optimization ( PSO )/weighted value/inertia weight/convergence and searching optimal/4G network base station分类
信息技术与安全科学引用本文复制引用
周玉光,曾碧,叶林锋..改进粒子群优化算法及其在4G 网络基站选址中的应用[J].广东工业大学学报,2015,(2):64-68,131,6.基金项目
国家自然科学基金资助项目（61173046）；广东省自然科学基金资助项目（S2012040007326）． （）
