计算机工程与应用2016，Vol.52Issue(21)：111-115,5.DOI:10.3778/j.issn.1002-8331.1412-0145
改进二进制粒子群算法及在频谱分配中的应用
Improved binary particle swarm optimization algorithm and its application in spec-trum allocation
王大为 1朱方方2
作者信息
- 1. 山西师范大学 物理与信息工程学院，山西 临汾 041000
- 2. 重庆大学 通信工程学院，重庆 400030
- 折叠
摘要
Abstract
Convergence rate is an important standard to measure the effectiveness of the algorithm, but slow convergence is the common defect of spectrum allocation algorithm. In order to allocate the spectrum more efficiently, this paper puts forward the concept of binary discrete velocity, by giving a new interpretation of the speed and position update strategy of the Binary Particle Swarm Optimization(BPSO), and by using the binary discrete velocity as the XOR factor to decide the change of location parameter, to better balance the development performance and the exploration performance of the algorithm. Experimental results show that the Improved Binary Particle Swarm Optimization(IBPSO)can realize a more efficient and faster allocation of the spectrum.关键词
粒子群/频谱分配/离散优化/资源分配Key words
Particle Swarm Optimization(PSO)/spectrum allocation/binary optimization/resource allocation分类
信息技术与安全科学引用本文复制引用
王大为,朱方方..改进二进制粒子群算法及在频谱分配中的应用[J].计算机工程与应用,2016,52(21):111-115,5.
