搜索资源列表
QPSOFCM
- QPSO（具有量子性质的PSO算法）算法优化聚类问题，其相关代码-QPSO (quantum nature of the PSO algorithm) to optimize the clustering problem, its associated code
PSOQPSO
- 详细的关于PSO何QPSO的介绍，对粒子群算法的初学者有很好的帮助-He QPSO detailed presentation on the PSO, the PSO algorithm has a good help for beginners
Aqpsozipn
- 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。 -This paper presents a new method of network anomaly detection based on quantum particle swarm
matab-code-quantum-pso-algorithm
- The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and
QPSOGuide
- sunjun编写的量子粒子群算法，MATLAB程序，简单易懂，注释清晰。-QPSO.m coded by Sun Jun, a efficient and effective algorithm, also a Swarm-Intelligent algorithm.
QPSO
- qpso的源码和相关注释，QPSO算法的MATLAB源码，给需要的人，希望斑竹给加点技术分-Global convergence of the PSO algorithm can be used for the development of intelligent computing
QPSO
- 量子理论和离子群优化算法结合，构建的量子粒子群优化算法，获得较的效果！-Quantum theory and particle swarm optimization algorithm combining quantum behaved particle swarm optimization algorithm to construct, acquire more effect!
qpso
- 该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。-The algorithm is based on convergence particle swarm particle basi
BG-QPSO
- 基于细菌觅食的量子行为粒子群算法，已试验，可运行-Quantum Behavior Particle Swarm Optimization (QPSO) algorithm based on bacterial foraging has been tested and run
QPSO
- Quantum particle swarm algorithm with pdf of sun
[paperhub]10.1016_j.chemolab.2014.01.003
- An improved QPSO algorithm and its application in the high-dimensional complex problems
dwt
- Combine the algorithm mopso and qpso in such a way that half the particles are updated by the algorithm qpso and the other half by the algorithm pso.