Results 11 to 20 of about 1,369 (190)
Study of the ternary correlation quantum-behaved PSO algorithm [PDF]
, 2015 In order to more effectively utilize existing information and improve QPSO's (quantum-behaved particle swarm optimization) convergence performance, the ternary correlation QPSO (TC-QPSO) algorithm was proposed based on the analysis of the random factors ...
Tao WU, Xi CHEN, Yu-song YAN
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智能科学与技术学报, 2022 供应链网络通过需求和供应关系将各个成员连接起来，方便成员之间进行协调与合作，这在全球化竞争环境下显得尤为重要。对供应链网络结构进行优化改进能够缩小企业运营成本、提高企业收益，提升客户满意度，进而提高企业的竞争力。首先，通过分析供应链网络中的优化问题，从建模特征、决策变量类型和场景特征等不同角度对该问题进行分类，从而更清晰地介绍现有供应链网络研究工作中涉及的优化问题。然后，介绍并分析了遗传算法、蚁群优化算法和粒子群优化算法3种常用的智能优化算法及其在供应链网络优化问题中的应用情况。最后 ...
张欣, 詹志辉
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Zhejiang Daxue xuebao. Lixue ban, 2018 针对粒子群算法容易陷入局部最优解的问题，提出了一种基于动态分级和邻域反向学习的改进粒子群算法.该算法通过构建动态分级机制，将种群中的粒子动态地划分成3个等级，对不同等级内的粒子采取不同的扰动行为，使得粒子在增强种群多样性的同时保持向全局最优方向进化；采用粒子智能更新方式，提高了粒子的搜索能力；引入动态邻域反向学习点建立全局搜索策略，促使种群快速寻优.最后，利用多种典型测试函数对该算法进行仿真实验，结果表明，与其他几种优化算法相比，本算法具有较好的收敛性和稳定性.
RENYanzhi(任燕芝)
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Improved PSO algorithm based on swarm prematurely degree and nonlinear periodic oscillating strategy [PDF]
, 2014 A novel particle swarm optimization algorithm was proposed, which was adaptive chaos particle swarm opti-mization algorithm based on swarm premature convergence degree and nonlinear periodic oscillating strategy.
Bing-kui FAN +3 more
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Zhejiang Daxue xuebao. Lixue ban, 2016 为提高粒子群算法的收敛速度和优化性能，避免陷入局部最优，提出了一种基于动态学习因子和共享适应度函数的改进粒子群算法.在惯性权重w随着迭代次数非线性减少而动态调整学习因子的基础上，引入共享适应度函数.当算法未达到终止条件而收敛时，利用粒子和最优解间距离挑选一批粒子重新初始化形成新群体，并用共享适应度函数对新群体进行评价，新旧2个群体分别追随自己的局部最优解直至迭代结束.对4个典型多峰复杂函数的测试结果表明，该改进算法不仅加快了寻得最优解的速度，而且提高了粒子群算法全局收敛的性能.
TANYifeng(谭熠峰) +2 more
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Adaptive fractional-order Darwinian particle swarm optimization algorithm [PDF]
, 2014 The convergence performance of the fractional-order Darwinian particle swarm optimization (FO-DPSO) al-gorithm depends on the fractional-order α, and it can easily get trapped in the local optima.
Ju-long LAN +3 more
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Clustering routing protocol based on improved PSO algorithm in WSN [PDF]
, 2019 Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy ...
Chuyun ZHANG +3 more
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Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks [PDF]
, 2019 Aiming at the problem that it is difficult to allocate spectrum resources to secondary users efficiently in cognitive heterogeneous wireless networks with heterogeneous spectrum attributes,dynamic channel conditions and diverse service requirements,a ...
Gengzhong ZHENG +3 more
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A rapid identification model of mine water inrush based on PSO-XGBoost [PDF]
, 2023 Mine water inrush is one of the main threats to mine safety production. Rapid analysis of the cause of water inrush and accurate identification of water inrush source are the key steps of mine water inrush disaster control.
Donglin DONG +6 more
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Improved SMC cardinality-balanced multi-Bernoulli forwardbackward smoothing track-before-detect algorithm [PDF]
, 2019 For the tracking problem of multiple maneuvering targets in radar observation,the sequential Monte-Carlo cardinality-balanced multi-Bernoulli track-before-detect (SMC-CBMeMBer-TBD) algorithm is inaccurate in the estimation of the number of targets and ...
Jiazheng PEI +3 more
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