Results 21 to 30 of about 1,783 (151)
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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Study on Structure Optimization of Pt-Pd Alloy Nanoparticles with CUDA-based Parallel Particle Swarm Optimization Algorithm [PDF]
, 2017 Pt-Pd合金纳米粒子在催化性能和光学性能上有着其他合金纳米粒子不可比拟的优势，因此对其进行全面的研究具有重要意义。目前，有很多智能算法应用于求解合金纳米粒子结构，例如粒子群算法和差分进化算法。在原子规模较小时，这些智能算法均能取得较为满意的结果，但随着原子规模的增加，计算量的大幅度提高，算法计算时间过长是亟待解决的问题。本文针对该问题提出了一种基于CUDA的并行粒子群算法。 本文主要研究内容包括： 本文采用QSC多体势描述Pt-Pd合金纳米粒子中原子间相互作用，以该势能函数的能量最小值作为求解指标 ...
李泽鹏
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IDS alert clustering algorithm based on chaotic particle swarm optimization [PDF]
, 2013 In order to improve the quality of alerts in intrusion detection system (IDS) and reduce the large number of redundant alarms, an IDS alerts clustering algorithm based on chaotic particle swarm optimization was proposed.It made the motion of particles ...
Bin WU +4 more
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Guangtongxin yanjiu, 2014 路径分配问题是光环网络中的核心问题。根据遗传算法、粒子群优化算法和蚁群算法各自的特点,提出了一种融入粒子群算法和遗传算法的混合蚁群算法,用于对光网络的最优环路径的搜索。仿真结果表明,所提出的算法在收敛速度及寻优效果方面均优于基本的蚁群算法和遗传、粒子群的混合算法,证明了所提出算法的有效性。
罗芳琼, 侯睿
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Dianxin kexue为了解决当前处理多用户应用程序效率低下、密集网络资源利用率低及系统花费成本高等问题，提出了一种云边端协同下多用户细粒度任务卸载调度方法。该方法联合考虑了时延、能耗和服务器租用成本，先划分应用程序任务并设计子任务优先级，然后提出了多用户子任务调度方案，设计了一种改进的模拟退火粒子群算法求解最小系统总成本，从而实现最佳卸载决策。实验结果表明，所提方法相较于粒子群和模拟退火二元粒子群等其他方法，分别降低了至少12.28%和7.42%的总成本。
谢满德, 黄竹芳, 孙浩
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Optimization for swarm intelligence based on layer-by-layer evolution [PDF]
, 2017 A layer-by-layer evolution strategy was proposed to deal with the premature convergence of swarm intelligence as a collaborator with other existing researches based on pre-experiments and simple proofs. For promoting the precision of solution and eviting
CHEN Yang, WANG Bi, ZHANG Shui-ping
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Feature selection algorithm based on improved particle swarm joint taboo search [PDF]
, 2018 To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. The genetic algorithm was used to improve the particle swarm
Bo CHEN +5 more
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Study on Task Offloading Algorithm for Internet of Vehicles on Highway Based on 5G MillimeterWave Communication [PDF]
, 2022 With the rapid development of the Internet of vehicles,the emerging new types of in-vehicle tasks put forward higher requirements for communication and computing capabilities.The development of satellite communication technology and the large-scale ...
QIU Xu, BIAN Hao-bu, WU Ming-xiao, ZHU Xiao-rong
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Research on Reservoir Prediction Automatic Optimization Model Based on Seismic Data [PDF]
, 2017 地震数据中蕴含着丰富的有关地下的地质构造、底层岩性和流体物性等信息，是储层预测的数据基础。但随着我国油气勘探开发的水平越来越高和勘探领域的不断延伸，地震属性数量和种类膨胀式增长，储层预测难度增大。数据挖掘是一种有效进行储层预测手段。本文基于数据挖掘中的特征降维方法和聚类分析构造了储层预测模型。 基于数据挖掘的储层预测模型在实际使用中经常需要人工设置参数。如果使用者不了解数据挖掘技术，设置参数是一个困难的事。储层预测模型参数选择的好坏对其预测结果有很大影响。储层预测模型一般会有多个参数 ...
鲍彬彬
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Gaoya dianqi, 2020 断路器动作时,分合闸线圈电流特征能够反映断路器操动机构或者二次回路的运行状态,文中基于分合闸线圈电流特征值创建了样本库,并提出使用粒子群优化学习机进行故障诊断的方法。该方法首先通过粒子群优化算法寻找最优解,即极限学习机模型中输入层与隐含层间的权值以及隐含层的偏置,然后利用最优值进行极限学习机网络训练,最后使用训练好的网络对测试样本进行诊断并验证该方法的有效性。同时搭建了未优化的极限学习机模型和遗传算法优化的极限学习机模型,仿真结果表明,经过粒子群算法优化后的极限学习机能100 ...
张佳, 陈志英, 陈丽安, 陈庆荣
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