检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

393 篇 期刊文献
347 篇 会议

馆藏范围

740 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

675 篇 工学
- 277 篇 计算机科学与技术...
- 206 篇 电气工程
- 135 篇 控制科学与工程
- 86 篇 机械工程
- 85 篇 石油与天然气工程
- 73 篇 软件工程
- 71 篇 信息与通信工程
- 65 篇 动力工程及工程热...
- 42 篇 材料科学与工程（可...
- 42 篇 交通运输工程
- 39 篇 电子科学与技术（可...
- 38 篇 仪器科学与技术
- 28 篇 土木工程
- 24 篇 力学（可授工学、理...
- 24 篇 环境科学与工程（可...
- 17 篇 化学工程与技术
- 15 篇 安全科学与工程
- 13 篇 建筑学
- 13 篇 网络空间安全
- 11 篇 水利工程
128 篇 管理学
- 125 篇 管理科学与工程(可...
119 篇 理学
- 44 篇 物理学
- 35 篇 数学
- 24 篇 化学
- 11 篇 地球物理学
- 11 篇 系统科学
- 10 篇 生物学
10 篇 医学
- 7 篇 临床医学
7 篇 经济学
- 7 篇 应用经济学
5 篇 农学
4 篇 教育学
2 篇 法学
2 篇 军事学
1 篇 文学
1 篇 历史学

主题

740 篇 particle swarm a...
68 篇 particle swarm o...
53 篇 genetic algorith...
47 篇 optimization
26 篇 multi-objective ...
22 篇 algorithms
19 篇 parametric subha...
14 篇 support vector m...
14 篇 particle swarm o...
13 篇 neural network
10 篇 bp neural networ...
9 篇 path planning
9 篇 simulated anneal...
9 篇 multiobjective o...
7 篇 machine learning
7 篇 simulated anneal...
7 篇 cloud computing
6 篇 fault diagnosis
6 篇 dike swarms
6 篇 hybrid algorithm

机构

4 篇 semnan univ fac ...
3 篇 nanjing univ sci...
3 篇 northeastern uni...
3 篇 tongji univ dept...
2 篇 tianjin univ tia...
2 篇 school of econom...
2 篇 malaviya natl in...
2 篇 shanghai univ en...
2 篇 sichuan univ col...
2 篇 nanjing normal u...
2 篇 graduate school ...
2 篇 univ chinese aca...
2 篇 huawei technol c...
2 篇 tongji univ stat...
2 篇 school of electr...
2 篇 hohai univ dept ...
2 篇 china elect powe...
2 篇 school of inform...
2 篇 xidian univ sch ...
2 篇 school of electr...

作者

5 篇 li qiang
4 篇 li xin
4 篇 wang hui
4 篇 wang chao
4 篇 karami hojat
4 篇 liu wei
4 篇 wu jianxin
3 篇 liu jianhua
3 篇 sun yan
3 篇 liu yang
3 篇 kisi ozgur
3 篇 zhang shuai
3 篇 wang tao
3 篇 sun wei
3 篇 zhao yang
3 篇 chen li
3 篇 lu jie
3 篇 qin jin
3 篇 zhang guoli
3 篇 farzin saeed

语言

681 篇 英文
44 篇 其他
9 篇 中文

检索条件"主题词=particle swarm algorithm"

共 740 条记录，以下是611-620 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Research on Obstacle Avoidance Path Planning for Unmanned Aerial Vehicle Formation in Urban Environment 14

Research on Obstacle Avoidance Path Planning for Unmanned Ae...

引用

14th International Symposium on Antennas Propagation and EM Theory

作者： Zhang, Tianyao Guo, Lixin Wei, Yiwen Xidian Univ Sch Phys Xian Peoples R China

ISBN: (纸本)9798350353129;9798350353136

The application of Unmanned Aerial Vehicle (UAV) in military, civil fields is becoming increasingly prevalent. Due to the complexity of the environment and the diversity of missions, current UAV technology is evolving towards the concept of swarm concept. In this paper, we introduce the environmental factors of the simulation and then adopt the elevation data of the urban model. Subsequently, the Rodrigues' rotation formula is introduced to facilitate the rotation of the UAV formation, combined with the translational coordinates of the path planning, in order to enable the transportation of the UAV formation within the three-dimensional environment. The particle swarm algorithm is highlighted as a key component in the planning of paths for point target formations in urban environment. The algorithm enables the control of distances between targets, the planned paths can be applied in the UAV swarm after the expansion process of the urban model. The above parts are finally integrated to realize the UAV formation's obstacle avoidance trajectory in urban environment.

关键词： UAV Urban model Rodrigues' rotation formula particle swarm algorithm

来源：评论

学校读者我要写书评

暂无评论

Real-time Evaluation Model Construction of GIS Conductor Thermal State Based on PSO-BP Neural Network 3

Real-time Evaluation Model Construction of GIS Conductor The...

引用

3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

作者： Jiao, Kerui Shen, Xiaojun Tongji University Department of Electrical Engineering Shanghai China

ISBN: (纸本)9798350382426

The thermal state of the conductors inside the GIS is an important indicator to assess its safety, but due to the closed nature of the GIS, it is often difficult to achieve a relatively fast monitoring. At present, multi-physics field simulation with the help of finite element method can realize the rapid monitoring of the thermal condition inside GIS, but some of its input parameters are difficult to obtain, and often can only' explore the causes from the results'. Meanwhile, it is difficult to guarantee the real-time performance. In this paper, we propose and construct a real-time evaluation model of conductor heating condition based on multi-physics field simulation and a BP neural network optimized by particle swarm algorithm. With the multi-physics field simulation model, parameters such as current, conductor resistance, gas pressure, and shell temperature rise are extracted as inputs, and contact resistance and conductor temperature rise are used as outputs to train the PSO- BP neural network to build the inverse model of GIS conductor heating state. The inversion system is highly accurate and real-time, reducing the input parameters that are difficult to obtain, and effectively realizing the improvement and enhancement from 'exploring the causes from the results' to 'deriving the results from the causes'. © 2023 IEEE.

关键词： GIS conductor particle swarm algorithm PSO-BP neural network real-time evaluation thermal state

来源：评论

学校读者我要写书评

暂无评论

Time-optimal trajectory planning of a six-degree-of-freedom robotic arm based on improved PSO algorithm

Time-optimal trajectory planning of a six-degree-of-freedom ...

引用

2024 International Conference on Intelligent Robotics and Automatic Control

作者： Yang, Ruijun Sun, Qingyu Xu, Bin Ji, Shoucheng Shanghai Inst Technol Sch Mech Engn Shanghai Peoples R China

ISBN: (纸本)9798350389814;9798350389807

To increase the working efficiency of the robotic arm and its stability, a 3-5-3 polynomial interpolation trajectory optimization algorithm based on the improved particle swarm algorithm is proposed for the time-optimal planning problem of a 6-DOF robotic arm. The improved particle swarm optimization algorithm improves the algorithm's global search ability and local search ability by nonlinearly and dynamically adjusting the size of inertia weights and learning factors. The improved particle swarm algorithm is used to optimize the robotic arm motion trajectory in the shortest time under the constraints such as speed. The research results show that the optimized particle swarm algorithm has higher optimization accuracy and faster convergence speed, and the overall running time of the robotic arm optimized by the improved algorithm is shorter, which verifies the effectiveness of the algorithm. And through the matlab software for robotic arm simulation experiments, to verify the reliability of the time-optimized robotic arm trajectory.

关键词： robotic arm trajectory optimization time-optimal particle swarm algorithm

来源：评论

学校读者我要写书评

暂无评论

A Novel Multi-Objective particle swarm Optimization based on Dynamic Crowding Distance

A Novel Multi-Objective Particle Swarm Optimization based on...

引用

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Liqin Liu 1 2 Xueliang Zhang 1 2 Liming Xie 1 Juan Du 2 1.College of Mechanical Electronic Engineering Lanzhou University of Technology 85 Langongping Lanzhou Gansu 730050 China 2.College of Mechanical Electronic Engineering Taiyuan University of Science and Technology 66 Waliu Road Taiyuan Shanxi 030024 China

In this article,a multi-objective particle swarm optimization algorithm based on dynamic crowding distance（DCD-MOPSO） was proposed,in which the definition of individual’s DCD was based on the degree of difference between the crowding distances on different *** proposed approach computed individual’s DCD dynamically during the process of population maintenance to ensure sufficient diversity amongst the solutions of the non-dominated *** the improved quick sorting to reduce the time for computation,both the dynamic inertia weight and acceleration coefficients are used in the algorithm to explore the search space more *** on well known and widely used test problems are performed,aiming at investigating the convergence and solution diversity of *** obtained results are compared with MOPSO and NSGA-Ⅱ,yielding the superiority of DCDMOPSO.

关键词： particle swarm algorithm multi-objective optimization dynamic crowding distance Pareto set

来源：评论

学校读者我要写书评

暂无评论

Co-operative Vector-Evaluated particle swarm Optimization for Multi-objective Optimization

Co-operative Vector-Evaluated Particle Swarm Optimization fo...

引用

IEEE Symposium Series on Computational Intelligence

作者： Justin Maltese Beatrice M. Ombuki-Berman Andries. P. Engelbrecht Dept. of Comput. Sci. Brock Univ. St. Catharines ON Canada

ISBN: (纸本)9781479975617

Vector-evaluated particle swarm optimization is a particle swarm optimization variant which employs multiple swarms to solve multi-objective optimization problems. Recently, three variants of particle swarm optimization which utilize co-operative principles were shown to improve performance in single-objective environments. This work proposes co-operative vector-evaluated particle swarm optimization algorithms, which employ co-operative particle swarm optimization variants within vector-evaluated particle swarm optimization swarms. Performance of the proposed algorithms is compared with the standard vector-evaluated particle swarm optimization algorithm using various knowledge transfer strategies. A comparison of the best performing co-operative vector-evaluated particle swarm optimization variants is also made against well-known multi-objective PSO algorithms. Each co-operative vector-evaluated particle swarm optimization variant significantly outperforms standard vector-evaluated particle swarm optimization with respect to the hypervolume metric, with two of three variants also yielding improved solution distribution. The results indicate that co-operation is a powerful tool which enhances hypervolume and solution distribution of the original vector-evaluated particle swarm optimization algorithm, allowing co-operative vector-evaluated particle swarm optimization variants to successfully compete with top multi-objective PSO optimization algorithms.

关键词： particle swarm optimization particle swarm algorithm variants

来源：评论

学校读者我要写书评

暂无评论

Study on Automatic Test Generation of Digital Circuits Using particle swarm Optimization

Study on Automatic Test Generation of Digital Circuits Using...

引用

第十届电子商务、工程及科学领域的分布式计算和应用（DCABES）国际学术研讨会

作者： Gu Yuan-liang IoT Engineering Jiangnan University Wuxi,Jiangsu,China Xu Wen-bo IoT Engineering Jiangnan University Wuxi,Jiangsu,China

The development of digital integrated circuit has put forward urgent demands for test *** technology has become a bottleneck in the application of LSI/*** for sequential circuits,it is still a problem which is not resolved completely in *** making use of the structure information of circuits,a method of automatic test generation for sequential circuits based on particle swarm optimization is presented,which is performed by two steps,initialization and fault *** results show that the approach can achieve high fault coverage,and CPU times needed for test generations are very short,which shows that it is a method deserving research.

关键词： Automatic Test Generation Sequential Circuits particle swarm algorithm

来源：评论

学校读者我要写书评

暂无评论

Reactive Power Optimization Simulation of Active Distribution Network Based on particle swarm Optimization

Reactive Power Optimization Simulation of Active Distributio...

引用

2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS2017)

作者： HaoZhang HongjuanLi MinXu State Grid Jiangxi Electric Power Company Shangrao Power Supply Branch School of Information Engineering Nanchang University

The access of a large number of renewable energy makes the active distribution network become the inevitable trend of development, coordination of renewable distributed power and traditional reactive power compensation device can effectively achieve the active distribution network reactive power optimization. The simulation results of IEEE33 node system show that the mathematical model is correct and accurate for the reactive power optimization of the distribution network, and the particle swarm optimization algorithm can effectively search the global optimal.

关键词： active distribution network mathematical model particle swarm algorithm simulation

来源：评论

学校读者我要写书评

暂无评论

Resource Allocation Schemes for Distribution Networks Under Source-Load Uncertainty

Resource Allocation Schemes for Distribution Networks Under ...

引用

2024 International Conference on Innovative Design and Intelligent Manufacturing, IDIM 2024

作者： Ye, Gaoxiang Yang, Jie Shao, Feifan Xia, Fangzhou Yang, Zili Zheng, Zijian Peng, Wenyan State Grid Hubei Electric Power Company Limited Economic & Technical Research Institute Wuhan430200 China

ISBN: (纸本)9781643685427

A multi-objective optimal allocation model is established by constructing probabilistic models of photovoltaic, wind turbine output, load and electric vehicle charging power. The model takes into account the economy of investment, network stability and social and environmental benefits. In order to solve this model, an improved multi-objective particle swarm algorithm is proposed, and the probabilistic trend calculation is carried out using the semi-invariant method to verify the constraints. The efficiency and effectiveness of the proposed method are verified through simulation, especially in terms of computation time and planning efficiency. © 2024 The Authors.

关键词： Distributed power supply Multi-objective optimization particle swarm algorithm

来源：评论

学校读者我要写书评

暂无评论

Active Power Distribution Hierarchical Energy Optimal Management of IoT Smart Power System

Active Power Distribution Hierarchical Energy Optimal Manage...

引用

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

作者： Yin, Xiang State Grid XinJiang Electric Power Co. Ltd Urumqi361024 China

ISBN: (纸本)9798350315455

With the development of modern power systems, the research on energy optimization management at the distribution level has also become a hot topic in recent years. In the microgrid system, two safety indicators, load power shortage rate and energy waste rate, are considered and incorporated into the model as constraints. The proposed energy optimization management method is verified by Python programming. To verify the advantages of the particle swarm optimization algorithm used in this paper in energy optimization management, the method in this paper is compared with the traditional real-time one-step optimization method. In this paper, the particle swarm algorithm is used, and the average node voltage deviation is about 0.01pu. The overall voltage evaluation index obtained is 25.86% lower than that of one-step optimization, and the overall optimization effect of reactive power voltage is better. © 2023 IEEE.

关键词： hierarchical energy optimization internet of things particle swarm algorithm smart power system

来源：评论

学校读者我要写书评

暂无评论

Analysis of Inclination Mechanism and Trajectory Prediction of Deep-Hole Small-Diameter Scientific Drilling Holes

Analysis of Inclination Mechanism and Trajectory Prediction ...

引用

2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Xu, Guo-Hui Liu, Hai-Sheng Mu, Yuan-Hong Qinghai Second Geological Exploration Institute Xining810028 China Qinghai Core Drilling Engineering Technology Research Center Xining810028 China

ISBN: (纸本)9798350383348

In many fields, such as geological exploration, mining and oil exploitation, the prediction of borehole inclination angle and trajectory is a key problem. Accurate prediction is not only helpful to improve work efficiency, but also can reduce various risks caused by borehole deviation. This paper mainly analyzes the inclination mechanism of borehole and discusses the prediction method of borehole trajectory. © 2024 IEEE.

关键词： Deep hole evolutionary computational theory Mechanism analysis particle swarm algorithm Small caliber Trajectory prediction

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共74页 << < 58 59 60 61 62 63 64 65 66 67 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：