检索结果-内蒙古大学图书馆

3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Wen, Xuejuan Yin, Dongmei Changchun Guanghua University Basic Teaching and Research Department Jilin Changchun China

ISBN: (纸本)9798350317022

Traditional mathematical modeling and programming rely on the quality and accuracy of input data. If the data is incorrect or uncertain, it can have a significant impact on the results of the model. pso (Particle Swarm Optimization) algorithm can effectively solve these problems. This study used case analysis and experimental testing methods to analyze the optimization strategies of pso algorithm in computer programming and mathematical model construction. By summarizing existing research and cases, the improved mathematical model performance of the pso algorithm was tested. After research, it was found that the mean square error of the improved mathematical model ranged from 0.01 to 0.05. The optimization strategy of pso algorithm in computer programming and mathematical model construction can significantly improve accuracy, stability of the optimal solution, and mean square error indicators. Parameter tuning is an important strategy to improve the performance of pso algorithms. By optimizing key parameters, global and local search capabilities can be adjusted. Multiple runs and averaging can reduce randomness and noise effects, improve the stability and accuracy of the optimal solution and maintain population diversity to avoid local optima. © 2023 IEEE.

关键词： Computer Programming Mathematical Model Optimization Strategy pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Intelligent Innovation and Entrepreneurship Platform Based on pso algorithm + Big Data 1

Intelligent Innovation and Entrepreneurship Platform Based o...

引用

1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Fan, Zhaohong Shandong Polytechnic Vocational College Shandong Jining China

ISBN: (纸本)9798350316469

Traditional innovation and entrepreneurship platforms face problems such as low resource utilization efficiency and inaccurate decision-making. In order to solve these problems, this paper adopts the combination of pso (Particle Swarm Optimization) algorithm and big data to improve the efficiency, accuracy and intelligence level of the algorithm. This article describes how to apply the pso algorithm to the innovation and entrepreneurship platform to perform task optimization and decision support in the big data environment, and also optimize the convergence speed of the pso algorithm, and effectively control the error. By optimizing resource utilization, the overall efficiency and cost-effectiveness of the platform is improved. The improved platform resource utilization rate in this paper has reached 79% -89%, and the intelligent innovation and entrepreneurship platform based on pso algorithm and big data has achieved significant improvements in algorithm efficiency, accuracy and resource utilization rate. This provides innovative entrepreneurs with a more efficient, accurate and intelligent platform. © 2023 IEEE.

关键词： Big Data Analysis Entrepreneurship Platform Intelligent Recommendation pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Construction of an Intelligent Decision System for Building Construction Management Risk Based on pso algorithm

Construction of an Intelligent Decision System for Building ...

引用

2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023

作者： Wu, Shulong Zhou, Zhiqiu Wu, Shubin Northwest Institute of Nuclear Technology Shaanxi Province Xi'an China Gansu Tianlin Real Estate Development Group Co. Gansu Province Tianshui China

ISBN: (纸本)9798350315455

With the increasing severity of construction safety issues, the risk factors during the construction process have also become more and more significant. How to strengthen the monitoring of risk factors in the construction process, timely identify and deal with safety hazards during the construction process is an urgent problem to be solved. Building an intelligent decision-making system for construction risks based on the pso (Ppaper Swarm Optimization) algorithm and real-time monitoring and warning of construction risks can provide relevant managers with a platform for timely and accurate acquisition of danger signals and intelligent decision-making analysis. Finally, it was found through experiments that the pso algorithm could improve the accuracy of decision-making from 87.70% to 95.17%. © 2023 IEEE.

关键词： construction of buildings decision-making system pso algorithm risk management

来源：评论

学校读者我要写书评

暂无评论

APS Modulation of High-Frequency Partial Paralleled DAB Converter Using Improved pso algorithm and Online Optimization algorithm 2

APS Modulation of High-Frequency Partial Paralleled DAB Conv...

引用

2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Chen, Zhaoyang Zhang, Zhe Fu, Xingyu Liu, Yuan Guo, Xiaoqiang Hebei University of Technology Department of Electrical Engineering Tianjin China School of Electrical Engineering Yanshan University Qinhuangdao China

ISBN: (纸本)9798350313765

For the partial paralleled dual active bridge (PPDAB) converter, in order to find out the two phase-shift angles which can minimize RMS current of the inductor under different load conditions, two algorithms are proposed in this paper. One is the improved particle swarm optimization (pso) algorithm, and the other is the online optimization algorithm. In the improved pso algorithm, the LTspice is called to avoid the calculation errors and the influence of parasitic parameters in high switching frequency. The other is the online optimization algorithm, which can improve the optimization accuracy in actual circuit. Additionally, a simple fuzzy algorithm is proposed to guarantee continuous output power. Furthermore, for eliminating the error of the delivered power in the actual circuit caused by the parasitic parameters of the devices, an PI control is proposed, which can be called in the improved pso algorithm and the online optimization algorithm. Finally, the proposed pso algorithm and the adaptive PI control are verified by simulation. © 2023 IEEE.

关键词： fuzzy algorithm online optimization PI control pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Simulation of CEDnet Reliability Evaluation Model Based on Improved pso algorithm 3

Simulation of CEDnet Reliability Evaluation Model Based on I...

引用

3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Zhao, Jincheng Xu, Huichen Mei, Zengyang Li, Pei Yin, Junjie State Grid Jiangsu Electric Power Company Information and Telecommunication Branch Jiangsu Nanjing210024 China

ISBN: (纸本)9798350318180

With the growth of CEDnet, a large quantity of Electrical Power System (EPS) services need to be transmitted through CEDnet. EPS's dependence on the communication network is constantly increasing, and the impact of communication network failures on EPS is also becoming increasingly severe. Studying the operation mode of CEDnet is an effective means to improve the reliable and secure operation of CEDnet, and is the main content of running network information reliability. It not only adds effective measures for program management such as secure operation and maintenance of communication networks, but also ensures the efficient growth of various communication operations, thereby achieving the optimal configuration of communication resources. In this article, a CEDnet optimization method based on improved particle swarm optimization (pso) algorithm is proposed. On the basis of the minimum construction cost, considering the factors of network reliability and service distribution, a problem model of CEDnet line optimization is designed, and its reliability is evaluated through simulation experiments. After simulation verification, this method can improve the flexibility and comprehensiveness of the planning scheme to a certain extent, providing an effective route optimization scheme for CEDnet. © 2023 IEEE.

关键词： CEDnet pso algorithm Reliability Safe operation

来源：评论

学校读者我要写书评

暂无评论

pso algorithm-based design of test loads for aircraft composite large-size panels 24

PSO algorithm-based design of test loads for aircraft compos...

引用

Proceedings of the 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis

作者： Bin Xue Hao Xiao Xinchao Hao Heng Liang Shanghai Aircraft Manufacturing Co. Shanghai China Shanghai Aircraft Design & Research Institute Shanghai China Shanghai Aircraft Manufacturing Co Shanghai China

ISBN: (纸本)9798400711831

In this paper, for the problem of mechanical test load design of large-size curved panel of multi-degree freedom composite fuselage, a method of iterative optimization calculation using Particle Swarm Optimization (pso) algorithm and finite-element equivalent model is proposed based on an advance multi-degree freedom fuselage panel combined load test rig. The efficiency of the iterative calculation is greatly improved by obtaining the shape matrix between the test panel and the combined body of the bench by independent loading of unit load. The strain data compliance rate is taken as the optimization objective function and calculated using the pso algorithm method. In order to obtain a higher compliance rate and computational efficiency, the effects of parameters including the particle number, the number of iterations, and the acceleration factor on the convergence speed and the compliance rate are analyzed and compared, and the load combination that meets the requirements of the compliance rate is finally obtained.

关键词： pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Parameter Group Optimization Strategy to Suppress Harmonic Current for PV-Storage Microgrid based on pso algorithm 9

Parameter Group Optimization Strategy to Suppress Harmonic C...

引用

IEEE 9th International Conference on Power Electronics Systems and Applications (PESA)

作者： Huang, Juntao Yang, Ling Zhu, Difan Guangdong Univ Technol Sch Automat Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781665486682

In the photovoltaic (PV)-storage microgrid, the instantaneous power of single-phase inverter load contains a double frequency pulsating power component, which leads to the existence of second harmonic current in the input source. Therefore, this paper proposes a harmonic current suppression method based on notch filter and quasi-proportional resonant controller. Under this method, the inductor branch shows high impedance at double frequency and low impedance at non-double frequency. It can effectively suppress the second harmonic current while meeting the dynamic needs. Aiming at the problems of poor dynamic performance and reducing harmonic suppression ability caused by improperly selecting controller parameters, an optimization strategy for suppression parameter group based on particle swarm optimization (pso) is proposed. Since pso has the advantages of high accuracy and fast convergence speed, it is convenient to obtain the optimal suppression parameter group, which takes dynamic quality, steady state and harmonic suppression ability into account. The experimental results verify the effectiveness of proposed method and optimization strategy.

关键词： harmonic current suppression parameter group optimization PV-storage microgrid pso algorithm

来源：评论

学校读者我要写书评

暂无评论

Enhanced nanolaser power for metamaterial waveguide using Bragg reflector and pso algorithm

引用

PHYSICA SCRIPTA 2025年第3期100卷 035532-035532页

作者： Kadhim, Nawres M. Vahed, Hamid Soofi, Hadi Univ Tabriz Fac Elect & Comp Engn Tabriz Iran

This work enhanced the laser output power from a nanolaser device utilizing an InGaAsP waveguide. We added the DBR structure to the meta-waveguide gain strips with 14 waveguides. Then, we used the particle swarm optimization (pso) algorithm to improve the dimensions, especially the meta-WG's width and the DBR structure's x, y, span, and period dimensions. From this new design, we obtained an increase in the output laser power in both the backward and forward directions, respectively, as the value of the increase in the backward direction reached ten orders of magnitude, meaning an output power of 2 mW. In comparison, it increased the laser output power in the forward direction by 2.61 orders of magnitude, indicating an output power value of 0.7 mW. This increase was achieved while maintaining the original device dimensions and operating at room temperature.

关键词： DBR structure FDTD metamaterial waveguide nanolaser pso algorithm SOI

来源：评论

学校读者我要写书评

暂无评论

Grid aided combined heat and power generation system for rural village in north China plain using improved pso algorithm

引用

JOURNAL OF CLEANER PRODUCTION 2024年 435卷

作者： Kang, Zezhong Duan, Ruonan Zheng, Zongming Xiao, Xianbin Shen, Chunlei Hu, Chunyu Tang, Shasha Qin, Wu North China Elect Power Univ Natl Engn Res Ctr New Energy Power Generat Sch New Energy Beijing 102206 Peoples R China State Grid Integrated Energy Serv Grp Co Ltd Beijing 100032 Peoples R China

The rural areas of North China Plain, an important grain producer in China, are endowed with abundant new energy resources such as biomass, solar, and wind energy. The revitalization of the rural villages is confronted with the shortage of clean and low carbon energy supply. This work proposes a multi -energy complementary distributed energy system (DES) tailored for daily energy consumption in a typical scattered village on the basis of the field survey results. The geothermal heat pump, photovoltaic system (PV), biomass gasification equipment, and other energy conversion devices are integrated in the DES model. The state grid is used as a fundamental ensuring resource to improve the robustness of the system. The improved particle swarm optimization (pso) algorithm is employed to determine the optimal unit capacity configuration by examining investment cost, payback period, system self-sufficiency, accommodation rate, and annual CO2 emissions. The main available renewable energy resources are biomass and solar energy with the annual amount of 1608.9 tons and 1679 kW h/m2. The heat, gas, and electricity load account for 76.84%, 3.14%, and 20.02%, respectively. Based on the daily peak -to -valley price differentials in Beijing of over $0.15/kWh, DES optimization was carried out with pso module in MATLAB software. The cost of the energy supply with DES, Scenario 3, was compared with that of the mere grid and renewable systems, Scenario 1 and Scenario 2. The direct DES cost is $0.52 million with the internal rate of return of 8.46%, resulting in a payback period of 6.15 years. The overall system self-sufficiency index except for grid achieved a value of 0.42. The application of the DES lead to energy costs of residents and annual carbon emission reduction by 32.5% and more than 3800 tons, respectively, compared to grid -only energy consumption, showcasing the feasibility of grid -aided combined heat and electricity production in rural areas.

关键词： Distributed energy system Rural areas pso algorithm Design and optimization

来源：评论

学校读者我要写书评

暂无评论

Railway Worker Safety Analysis by the pso algorithm in China Railway Bureau 41

Railway Worker Safety Analysis by the PSO Algorithm in China...

引用

第41届中国控制会议

作者： Jun Liu Min Liu Hua Xu Yanhua Wu Yong Zhou Institute of Computing TechnologiesChinese Academy of Railway Sciences

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In order to ensure the railway safety from the viewpoint of human factor,this paper mainly discusses the safety analysis on worker and manager in China railway ***,the safety related data on railway worker are composed of the basic information,safety punishment,safety reward,safety training and safety examination,***,the safety assessment model on railway worker and the safety label on railway personas and are provided to the safety supervisor and ***,some main steps on pso algorithm are given in this paper and pso algorithm is used to divide the workers into different classification types,then the corresponding results can help the safety manager to improve the safety management efficiency from the perspective of human ***,simulation results show that the correlation analysis among main factors selects key safety factor and the pso algorithm searches for the centers of each subgroup.

关键词： Railway safety Personas analysis pso algorithm Precision management

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：