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A fast PSO algorithm based on Alpha-stable mutation and its application in aerodynamic optimization
Xibei Gongye Daxue Xuebao, 2022 提出了一种基于Alpha stable分布的新型变异方法。针对粒子群算法容易陷入局部最优的缺点, 通过对比分析确定了一种调整Alpha stable分布的稳态系数动态变异策略, 使粒子群算法能够在搜索初始阶段具有更强的种群多样性以及算法探索能力, 减少陷入局部最优的可能; 在算法末期增强粒子群优化算法的局部搜索能力, 提高解的精度。将基于Alpha stable变异的粒子群优化算法(Alpha stable particle swarm optimization, ASPSO ...
FAN Huayu +3 more
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Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines [PDF]
, 2023 Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
GAN Yunhua +5 more
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智能科学与技术学报, 2022 针对含分布式电源（DG）的配电网动态重构问题，提出考虑配电网负荷需求与 DG 出力动态变化的配电网动态重构方案。首先，基于不同时段的负荷特性与最优网络结构的综合相似性，提出了一种改进层次聚类的时段划分方法。在此基础上，提出了遗传学习自适应粒子群优化算法，实现以网络损耗最小为优化目标的动态重构优化计算。针对基本粒子群算法中缺乏速度动态调节、易陷入局部最优等问题，提出基于粒子个体最优位置的遗传学习方案增加搜索多样性，提高算法的全局搜索能力，并引入自适应惯性权值和加速系数以满足不同时期的寻优要求。最后 ...
王云 +4 more
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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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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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大数据, 2022 提出基于粒子群优化特征选择（PSOFS）算法和TSK（Takagi-Sugeno-Kang）模糊系统的心电信号分类模型，即基于PSOFS和TSK的并行集成模糊神经网络（PE-PT-FN），用于心电图预测。首先对训练集中的各类样本进行随机放回抽样，然后将抽样得到的样本合并在一起，再独立且并行地通过PSOFS算法进行特征选择。PSOFS算法中不同的位置表示不同的特征子集，初始位置随机的粒子经过多次迭代收敛至最佳位置。每个子集得到一个特征子集用于并行训练多组独立的小型TSK模糊神经网络（TSK-FNN ...
李鑫辉, 申情, 张雄涛
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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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PSO based task scheduling for medical big data [PDF]
, 2014 How to select a suitable task scheduling strategy to accomplish the task of medical data query in scheduling and allocation inside each hospital is a important problem demanded to be dealt with in medical big data processing.In order to content the ...
Chao HU, Jun PENG, Wen-tao YU
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Inverse Kinematics Obstacle Avoidance Solution for Industrial Robot Based on Quaternion - 基于四元数的工业机器人逆运动学避障求解 [PDF]
, 2022 With the development of artificial intelligence technology, industrial robots are widely used in work scenarios such as gripping and handling. However, due to the complex inverse kinematics solution and the existence of multiple solutions for poses, the ...
Dong, Gui-rong +5 more
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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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