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

872 篇 期刊文献
465 篇 会议
2 篇 学位论文
1 篇 资讯

馆藏范围

1,340 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,232 篇 工学
- 553 篇 计算机科学与技术...
- 401 篇 电气工程
- 197 篇 控制科学与工程
- 115 篇 信息与通信工程
- 110 篇 机械工程
- 96 篇 石油与天然气工程
- 80 篇 软件工程
- 67 篇 仪器科学与技术
- 59 篇 动力工程及工程热...
- 56 篇 电子科学与技术（可...
- 54 篇 材料科学与工程（可...
- 50 篇 力学（可授工学、理...
- 42 篇 化学工程与技术
- 39 篇 土木工程
- 30 篇 环境科学与工程（可...
- 29 篇 交通运输工程
- 19 篇 光学工程
- 19 篇 水利工程
- 17 篇 生物医学工程（可授...
- 16 篇 建筑学
234 篇 理学
- 69 篇 数学
- 69 篇 物理学
- 37 篇 生物学
- 36 篇 化学
- 18 篇 地球物理学
229 篇 管理学
- 224 篇 管理科学与工程(可...
28 篇 医学
- 14 篇 临床医学
23 篇 经济学
- 18 篇 应用经济学
15 篇 农学
3 篇 法学
2 篇 军事学
1 篇 教育学

主题

1,340 篇 differential evo...
96 篇 optimization
49 篇 genetic algorith...
47 篇 particle swarm o...
44 篇 multi-objective ...
31 篇 evolutionary com...
15 篇 global optimizat...
14 篇 artificial bee c...
14 篇 evolutionary alg...
14 篇 parameter identi...
13 篇 cuckoo search al...
13 篇 adaptive
13 篇 evolutionary alg...
13 篇 artificial neura...
12 篇 load frequency c...
12 篇 optimisation tec...
11 篇 multi-objective
11 篇 parameter estima...
10 篇 particle swarm o...
10 篇 cloud computing

机构

13 篇 china univ geosc...
13 篇 huazhong univ sc...
9 篇 hubei key lab ad...
8 篇 huazhong univ sc...
6 篇 yangtze univ sch...
5 篇 south china univ...
5 篇 wuhan inst techn...
5 篇 northeastern uni...
5 篇 hubei univ econ ...
5 篇 e china univ sci...
5 篇 china univ geosc...
5 篇 nanyang technol ...
5 篇 yasar univ dept ...
5 篇 school of automa...
4 篇 hubei key labora...
4 篇 ton duc thang un...
4 篇 hunan univ coll ...
4 篇 jadavpur univ de...
4 篇 natl kaohsiung u...
4 篇 wuhan univ state...

作者

15 篇 wang lin
10 篇 yan xuefeng
9 篇 zhou jianzhong
9 篇 zhang pan
8 篇 wu min
8 篇 pitakaso rapeepa...
8 篇 su qinghua
7 篇 besdok erkan
6 篇 wang lejun
6 篇 tasgetiren m. fa...
6 篇 hu zhongbo
6 篇 huang zixin
6 篇 zeng yu-rong
6 篇 wang wei
6 篇 chou jyh-horng
6 篇 wang yawu
6 篇 lai xuzhi
6 篇 civicioglu pinar
6 篇 qin hui
5 篇 yang yang

语言

1,242 篇 英文
73 篇 其他
16 篇 中文
2 篇 土耳其文
1 篇 法文

检索条件"主题词=differential evolution algorithm"

共 1340 条记录，以下是861-870 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：

A Novel PSOEDE algorithm for Vehicle Scheduling Problem in Public Transportation 10th

A Novel PSOEDE Algorithm for Vehicle Scheduling Problem in P...

引用

10th International Conference on Swarm Intelligence (ICSI)

作者： Wang, Hong Zuo, Lulu Yang, Xuesen Shenzhen Univ Coll Management Shenzhen 518060 Peoples R China

ISBN: (纸本)9783030263683;9783030263690

One of the problems in public transportation is the vehicle scheduling problem (VSP), which can reduce the bus company cost and meet the demand of passengers' minimum waiting time. This paper proposes an ensemble differential algorithm based on particle swarm optimization (abbreviated as PSOEDE) to solve the VSP. In PSOEDE algorithm, the mutation process is designed by dividing the original process into two parts: the first part combines the PSO operator with the improved mutation strategy to enhance the global search ability, while the second part is to randomly select two mutation strategies (i.e. random learning and optimal learning) to improve the diversity of population. In addition, the random selection methods of the parameters and crossover strategies are proposed and applied in the total PSOEDE algorithm. The effectiveness and superiority of the proposed PSOEDE algorithm in dealing with the VSP are verified using the simulation experiments and six comparison algorithms.

关键词： Particle swarm optimization differential evolution algorithm Vehicle scheduling problem

来源：评论

学校读者我要写书评

暂无评论

Design and Optimization of an Active OTA-C Filter Based on STOHE algorithm 24

Design and Optimization of an Active OTA-C Filter Based on S...

引用

24th International Conference on Applied Electronics (AE)

作者： Barri, Dalibor Jakovenko, Jiri Czech Tech Univ Dept Microelect Prague Czech Republic STMicroelect Dept Microelect Prague Czech Republic

ISBN: (纸本)9788026108122

With increasing demands on design and optimization of analog circuits in real applications, a limited number of algorithms for practical use have been presented. The drawbacks of already existing standard algorithms are in a possibility to stagnate in a not optimal solution and also big time consumption. These drawbacks have been overcome by our new proposed algorithm STOHE. The new algorithm is a combination of a STOchastic and HEuristic algorithms. As the stochastic respectively heuristic algorithm was chosen differential evolution algorithm respectively simplex algorithm. The algorithm has been verified by the design and optimization of an active OTA-C filter where the standard approach fails.

关键词： differential evolution algorithm OTA-C filter simplex algorithm STOHE algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved Multi-objective differential evolution algorithm

An Improved Multi-objective Differential Evolution Algorithm

引用

The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Dapeng Niu Fuli Wang Dakuo He Yuqing Chang Dehao Gu School of Information Science and Engineering Northeastern University State Key Laboratory of Synth School of Information Science and Engineering Northeastern University State Key Laboratory of Rolling and Automation Northeastern University Shenyang Liaoning Province

Based on multi-objective differential evolution algorithm, adaptive chaotic multi-objective differential evolution algorithm(AC-DEMO) is proposed, combining with adaptive and chaotic principles. In AC-DEMO, chaotic initialization and adaptive mutation operator are introduced to improve the efficiency of the algorithm. Numerical experiment results of commonly used test functions show that the algorithm has a good approximation and uniformity index and is suitable to solve complex multi-objective optimization problems.

关键词： Multi-objective differential evolution algorithm chaotic initialization adaptive mutation approximation and uniformity

来源：评论

学校读者我要写书评

暂无评论

A new Method for Dynamic Economic Emission Dispatch Problem

A new Method for Dynamic Economic Emission Dispatch Problem

引用

IEEE Congress on evolutionary Computation (IEEE CEC)

作者： Huang, Chia-Ling Jao, Chen-Wei Zhang, Xianyong Yeh, Wei-Chang Chung, Vera Yuk Ying Wang, Jinhai Yang, Jun Jiang, Yun-Zhi Kainan Univ Dept Logist & Shipping Management Taoyuan 33857 Taiwan Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu 300 Taiwan Guangdong Polytech Normal Univ Sch Automat Guangzhou Guangdong Peoples R China Natl Tsing Hua Univ Dept Ind Engn & Engn Management Integrat & Collaborat Lab Hsinchu 300 Taiwan Univ Sydney Sch Informat Technol Sydney NSW 2006 Australia Foshan Univ Coll Elect & Informat Engn Foshan 528000 Peoples R China South China Univ Technol Sch Math Guangzhou Guangdong Peoples R China Guangdong Polytechn Normal Univ Sch Math & Syst Sci Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781728121536

The Dynamic Economic Emission Dispatch Problem (DEED) is a well-known problem in the study of thermal power generation. The goal of the DEED is to meet the demand change by arranging the capacities of power generators to reduce fuel cost and emission. In recent years, the high environmental awareness, the decreasing petrochemical energy, and the increasing energy demand such that the DEED is more important and popular than before. Most of algorithms for the DEED are either limited by less than ten power generators or without considering the power generation limit. The former is impractical due to that the number of power generators in current thermal power plants can be up to 14;the latter results in infeasible solutions. To overcome the above two obstacles, a new algorithm called the SSO-DE-SQP hybrid with the Simplified Swarm Optimization (SSO), differential evolution (DE), and Sequential Quadratic Programming (SQP) is developed to solve the larger-size DEED with the power generation limit. The performance of the SSO-DE-SQP is demonstrated by comparing with two existing well-known methods: DE-SQP and PSO-SQP with up to 15 generators for the DEED.

关键词： Dynamic Economic Emission Dispatch Problem Fuel cost and Emission Simplified Swarm Optimization differential evolution algorithm Sequential Quadratic Programming

来源：评论

学校读者我要写书评

暂无评论

Distribution Network Reconfiguration Based on differential evolution algorithm

Distribution Network Reconfiguration Based on Differential E...

引用

2012 Conference on Modelling, Identification and Control (MIC2012)

作者： Congjiao Wang Xihuai Wang Jidong Liu Department of Electrical Engineering Logistic Engineering CollegeShanghai Maritime University

ISBN: (纸本)9781627483766

According to the configuration of distribution network,this paper put forward the corresponding cyclic decimal coding solution and corresponding mutation,crossover and selection strategy according to problems that during the distribution network reconfiguration,large number of infeasible solutions are ***,we gave the definition of radial decision problem,and solve the reverse problem of the first and the end nodes after *** experimental results of the methods of IEEE33 and PG&E69 node simulation show that this method can effectively solve the problem.

关键词： Distribution network structure Loop decimal coding differential evolution algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved Inversion Model for Two-Dimensional Microwave Imaging

An Improved Inversion Model for Two-Dimensional Microwave Im...

引用

Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

作者： Su, Yurou Lu, Guizhen Commun Univ China Informat & Commun Engn Sch Beijing Peoples R China

ISBN: (纸本)9781728113722

An improved scattering field measurement model is adopted to calculate the scattering field under the condition of the Born Approximation. The relative dielectric constant of the object to be measured is discretized through the integral equation of electromagnetic field. DE algorithm is used to solve the minimum fitness function for imaging. Simulation results show that the improved model can effectively enhance the accuracy of the dielectric constant.

关键词： microwave imaging born approximation differential evolution algorithm inversion model

来源：评论

学校读者我要写书评

暂无评论

Research on Wireless Network Node Localization algorithm for Internet of Things 8

Research on Wireless Network Node Localization Algorithm for...

引用

IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Wang, Junshe Zhang, Chen Jiang, Tongtong Duan, Qiang Hebei Univ Sci & Technol Coll Informat Sci & Engn Shijiazhuang Hebei Peoples R China Penn State Univ 1600 Woodland Rd Abington PA USA

ISBN: (纸本)9781538681787

The accuracy of node localization is the key to the location service applications in the Internet of Things. In this paper, a Monte Carlo localization algorithm based on Newton interpolation and differential evolution algorithm is proposed to solve the problem that the localization technology in the existing Internet of Things environment has insufficient localization accuracy and low localization efficiency. The algorithm uses Newton interpolation to reduce the sampling region, and improves the sampling success rate through the differential crossing step of the differential evolution algorithm. The simulation results show that the localization accuracy and localization efficiency of the algorithm are greatly improved compared with existing algorithms.

关键词： the Internet of Things node localization Newton interpolation differential evolution algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved Multi-objective differential evolution algorithm

An Improved Multi-objective Differential Evolution Algorithm

引用

第24届中国控制与决策会议

作者： Dapeng Niu 1,2 , Fuli Wang 1,2 , Yuqing Chang 1 , Dakuo He 1 and Dehao Gu 3 1. School of Information Science and Engineering, Northeastern University 2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University 3. State Key Laboratory of Rolling and Automation, Northeastern University Shenyang, Liaoning Province,China

关键词： Multi-objective differential evolution algorithm chaotic initialization adaptive mutation approximation and uniformity

来源：评论

学校读者我要写书评

暂无评论

PID Optimization with Regulation-Based Formulas and Improved differential evolution algorithm

PID Optimization with Regulation-Based Formulas and Improved...

引用

2012 3rd International Conference on Information Technology for Manufacturing Systems(ITMS 2012)

作者： Ni Guijie Wang Peng Liu Lin Zhengzhou Electric Power College Electric Power Research Institute of Guangdong Power Grid Corporation Foshan Power Supply Bureau of Guangdong Power Grid Corporation

Regulation-based formulas and improved differential evolution(DE) algorithm is used to optimize PID parameters. In order to improve the global search ability and the convergence rate of the common DE algorithm, self-adaptive method is introduced to obtain DE parameters. On the other hand, initial population quality of DE algorithm has important influence on convergence of the algorithm. So the regulation-based formulas are used to guide the production of initial population, which is good to improve the convergence rate and realize obtaining of PID parameters completely adaptive without any personal experience. The simulation is developed on steam temperature system of cycle fluidized bed boiler with serious parameter uncertainties and many disturbance and long-time delay. The results show that the improved DE algorithm has higher optimal speed, small amount of calculation and effective optimization of parameters. The proposed method has better control quality and system robustness.

关键词： differential evolution algorithm Regulation-Based Formulas Self-Adaptive Operator PID Control

来源：评论

学校读者我要写书评

暂无评论

Electricity Consumption Prediction of Cement Rotary Kiln:DE-TVD-DBN Self-Optimizing Prediction Model

Electricity Consumption Prediction of Cement Rotary Kiln:DE-...

引用

Chinese Automation Congress (CAC)

作者： Li, Ze Shi, Xin Zheng, Lizhao Wang, Zhaoxu Zhao, Yantao Hao, Xiaochen Yanshan Univ Qinhuangdao Hebei Peoples R China

ISBN: (纸本)9781728140940

The cement rotary kiln firing process is complex, and raw material fluctuations and kiln condition changes can cause changes in the actual model characteristics of the production. Aiming at the problem that the model prediction parameters of the model are difficult to select and the prediction accuracy is low, a differential evolution based DE-TVD-DBN structure optimization model. The DE-TVD-DBN forward reconstruction error according to the DE-TVD-DBN forward training model can reflect the characteristics of the restricted Boltzmann machine(RBM) to minimize the DE-TVD-DBN forward training. The forward reconstruction error is the objective function, and the DE-TVD-DBN structure optimization model is constructed. Considering the complexity and precision of the optimization process, the differential evolution algorithm is used to solve the model iteratively. Experiments were carried out using the actual data. The results show that the model structure selected by the model has higher precision in predicting the electricity consumption of the cement rotary kiln, and effectively reduces the complexity of the optimization process. The automatic optimization of the model structure is realized.

关键词： Electricity consumption prediction Deep belie network differential evolution algorithm Model optimization

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134页 << < 83 84 85 86 87 88 89 90 91 92 > >>

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：