Comparing with the other two algorithms, the QPSO can converge rapidly and search out the global optima most frequently.
跟其它两种算法相比，QP SO收敛的速度快并且最容易找到全局最优解。
Not only QPSO has less parameters to control, but also does its sampling space at each iteration covers the whole solution space.
QP SO不仅参数个数少，其每一个迭代步的取样空间能覆盖整个解空间，因此能保证算法的全局收敛。
Three images results of segmentation are presented and demonstrate the efficiency of QPSO algorithms to automatic and unsupervised texture segmentation.
给出了三幅图像的分割效果，证明了QPSO算法在自动的和无监督的纹理分割上具有很好的效果。
To improving the diagnosed speed and accuracy of the steam turbine diagnose system, this paper proposes a method that combines QPSO with BP neural networks.
为了提高汽轮机诊断系统的诊断速度与精度，提出了将量子粒子群算法和BP神经网络相结合的故障诊断方法。
In the web anomaly intrusion detection, the application of the WLS-SVM based on QPSO algorithm, the results is significantly, especially to small sample size of data has good predictive ability.
在网络异常入侵检测中，应用基于QPSO的WLS - SVM算法效果显著，特别是对于小样本数据量具有良好的预测能力。
According to still existing problem of Quantum-behaved Particle Swarm Optimization (QPSO), a new QPSO with two Particle Swarms based on public history researching side-by-side (TPHQPSO) is presented.
针对量子粒子群算法存在的问题，设计基于公共历史的两种群并行搜索的量子粒子群算法。
According to still existing problem of Quantum-behaved Particle Swarm Optimization (QPSO), a new QPSO with two Particle Swarms based on public history researching side-by-side (TPHQPSO) is presented.
针对量子粒子群算法存在的问题，设计基于公共历史的两种群并行搜索的量子粒子群算法。
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