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

996 篇 期刊文献
604 篇 会议
2 篇 学位论文

馆藏范围

1,602 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,335 篇 工学
- 815 篇 计算机科学与技术...
- 430 篇 电气工程
- 189 篇 控制科学与工程
- 150 篇 信息与通信工程
- 112 篇 机械工程
- 106 篇 软件工程
- 58 篇 石油与天然气工程
- 53 篇 仪器科学与技术
- 53 篇 土木工程
- 43 篇 电子科学与技术（可...
- 39 篇 材料科学与工程（可...
- 38 篇 动力工程及工程热...
- 32 篇 力学（可授工学、理...
- 25 篇 交通运输工程
- 25 篇 环境科学与工程（可...
- 17 篇 建筑学
- 15 篇 化学工程与技术
- 14 篇 航空宇航科学与技...
- 13 篇 生物医学工程（可授...
- 12 篇 水利工程
268 篇 管理学
- 266 篇 管理科学与工程(可...
- 15 篇 工商管理
232 篇 理学
- 81 篇 数学
- 53 篇 生物学
- 47 篇 物理学
- 33 篇 化学
- 18 篇 地球物理学
- 11 篇 系统科学
30 篇 经济学
- 21 篇 应用经济学
30 篇 医学
- 15 篇 临床医学
17 篇 农学
4 篇 法学
3 篇 艺术学
2 篇 教育学
1 篇 军事学

主题

1,602 篇 artificial bee c...
147 篇 optimization
116 篇 swarm intelligen...
86 篇 particle swarm o...
72 篇 genetic algorith...
46 篇 multi-objective ...
38 篇 heuristic algori...
30 篇 convergence
30 篇 search problems
25 篇 differential evo...
24 篇 metaheuristics
23 篇 scheduling
22 篇 path planning
22 篇 global optimizat...
19 篇 simulation
19 篇 wireless sensor ...
19 篇 heuristic
19 篇 costs
19 篇 accuracy
18 篇 feature extracti...

机构

13 篇 univ hyderabad d...
11 篇 shenzhen univ co...
10 篇 univ chinese aca...
10 篇 northeastern uni...
9 篇 univ hyderabad s...
9 篇 liaocheng univ s...
9 篇 erciyes univ dep...
9 篇 hong kong polyte...
8 篇 shandong normal ...
8 篇 lanzhou jiaotong...
7 篇 natl inst techno...
7 篇 erciyes univ dep...
7 篇 yasar univ dept ...
6 篇 shanghai univ sc...
6 篇 beihang univ sch...
6 篇 south china univ...
6 篇 city univ hong k...
6 篇 lanzhou jiaotong...
5 篇 jadavpur univ de...
5 篇 univ engn & tech...

作者

29 篇 singh alok
23 篇 karaboga dervis
17 篇 sundar shyam
14 篇 ozturk celal
12 篇 karaboga nurhan
10 篇 li junjie
10 篇 pan quan-ke
10 篇 kang fei
9 篇 li genghui
8 篇 akay bahriye
8 篇 tasgetiren m. fa...
8 篇 gao hao
8 篇 liu san-yang
8 篇 cui laizhong
7 篇 yu weiyu
7 篇 szeto w. y.
7 篇 lee c. k. m.
7 篇 gao wei-feng
7 篇 wang ling
7 篇 lu nan

语言

1,509 篇 英文
68 篇 其他
13 篇 中文
9 篇 土耳其文
4 篇 法文
3 篇 德文

检索条件"主题词=artificial bee colony algorithm"

共 1602 条记录，以下是331-340 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：

artificial bee colony algorithm Based Interpretation Of Dissolved Gas Analysis

Artificial Bee Colony Algorithm Based Interpretation Of Diss...

引用

International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)

作者： Akshatha S Rai C M Maheshan Karnataka Power Transmission Corporation Ltd. Bengaluru Karnataka India University Visvesvaraya Colllege of Engineering K.R. Circle Bengaluru Karnataka India

ISBN: (数字)9781728132617

ISBN: (纸本)9781728132624

Power Transformer being essential and costlier equipment in the power sector, maintaining its healthiness is a crucial task. Condition monitoring of transformers can help in predicting the kinds of fault and prevent the mishap. It can be achieved through Dissolved Gas Analysis. But interpretation of DGA to find the nature of fault that has occurred within transformer is a difficult job. There are many conventional methods like key gas method, Rogers ratio method, Duval triangle etc. These methods may not provide accurate and precise results in desired time. Therefore, modern heuristic methods can be helpful in reducing the computation time. One on such heuristic method is artificial bee colony algorithm. The results of this method are validated by comparing with the Fuzzy Inference System method on the basis of accuracy, precision, specificity and sensitivity.

关键词： artificial bee colony algorithm Gases Oil insulation Oils Power transformer insulation Optimization

来源：评论

学校读者我要写书评

暂无评论

Optimum Design on In-wheel Motor of New Energy Vehicles based on Improved artificial bee colony algorithm 3

Optimum Design on In-wheel Motor of New Energy Vehicles base...

引用

3rd International Conference on Vision, Image and Signal Processing (ICVISP)

作者： Luo, Jie Zhang, Heshan Yuan, Chun Chongqing Vocat Coll Transportat Chongqing Peoples R China Chongqing Jiaotong Univ Chongqing Peoples R China

ISBN: (纸本)9781450376259

In order to improve the power density of the in-wheel motor and reduce its cost of materials. A multi-objective optimization method of in-wheel motor for electric vehicles (EV) is proposed based on an improved artificial colony algorithm. The new improved artificial colony algorithm is used to implement motor optimizing design with the geometry size and material parameters of motor as variables and the quality, cost and power consumption of the motor as the optimization goal. The results show that compared with conventional artificial colony algorithm, the convergence speed and global search ability of improved artificial colony algorithm is better and the quality, cost and power loss of optimized motor is relatively reduced, and the efficiency is improved.

关键词： Electric wheel out-rotor in-wheel motor artificial bee colony algorithm multi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

artificial bee colony algorithm Based On Self-Adaptive Greedy Strategy 10

Artificial Bee Colony Algorithm Based On Self-Adaptive Greed...

引用

10th International Conference on Advanced Computational Intelligence (ICACI)

作者： Yang, Zeyu Hu, Haidong Gao, Hao Nanjing Univ Posts & Telecommun Inst Adv Technol Nanjing Jiangsu Peoples R China Beijing Inst Control Engn Beijing Peoples R China

ISBN: (纸本)9781538643624

artificial bee colony algorithm is an effective optimization algorithm. In this paper, a novel artificial bee colony algorithm is developed based on a self-adaptive greedy strategy (SAGABC). Each bee should select whether adopts greedy strategy or not based on its fitness value on each generation. Individuals with worse fitness value update with non-greedy strategy then they have more opportunity to get a better score while individuals with better fitness value update with greedy strategy to speed up convergence. In other word, non-greedy part improves diversity of population which contributes to a better global searching ability. Finally, the experience results demonstrate that the developed method shows a competitive performance compared with traditional ABC and other optimization algorithms on a number of benchmark functions.

关键词： artificial bee colony algorithm greedy selection population diversity self-adaptive

来源：评论

学校读者我要写书评

暂无评论

5D Magnetic Localization for Wireless Capsule Endoscopy Using the Levenberg-Marquardt Method and artificial bee colony algorithm 30

5D Magnetic Localization for Wireless Capsule Endoscopy Usin...

引用

30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Suveren, Memduh Kanaan, Muzaffer Erciyes Univ Dept Mechatron Engn Kayseri Turkey

ISBN: (纸本)9781538693582

In this study, magnetic positioning process is performed by WCE method which is mostly preferred in recent years. In order to make 5D magnetic positioning possible, two different algorithms were used to solve nonlinear mathematical dipole equations;artificial bee colony algorithm and Levenberg-Marquardt method. In case of using both algorithms separately and hybrid, performance comparison was made and the effect of noise on positioning error was investigated. As a result, we obtained a position error of less than 0.65 mm and orientation error of less than 0.8 degrees in the absence of noise and in case of noise addition, we had an average position error of 6.45 mm and a 9% angle error.

关键词： Wireless Capsule Endoscopy In Body Localization artificial bee colony algorithm Levenberg-Marquardt Method

来源：评论

学校读者我要写书评

暂无评论

Indoor Emergency Evacuation Model Based on artificial bee colony algorithm 10

Indoor Emergency Evacuation Model Based on Artificial Bee Co...

引用

10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Zong, Xinlu Du, Jiayuan Liu, Wei Zhang, Lu Huang, Qian Hubei Univ Technol Coll Comp Sci Wuhan Peoples R China

ISBN: (纸本)9781728140698

In order to quickly and efficiently simulate the crowd movement process under the evacuation scene, so as to reduce the casualties in emergency evacuation, this article proposes an indoor emergency evacuation model based on the improved artificial swarm algorithm. In this article, the cellular automata (CA) model is used to establish the evacuation environment, and then the artificial bee colony (ABC) algorithm is used to simulate the crowd evacuation. However, due to too many obstacles existing in the neighboring cells of some position, the individual in that position have to wait. If the distance equation is used to calculate the fitness, it may cause other individuals to choose these positions as new position and repeat the same mistake above. To reduce the occurrence of such cases, we improve the fitness function of the ABC algorithm. In the fitness function, the factors of attraction and repulsion force in social force model are introduced. And on the basis of the ABC algorithm, we propose the visual employed bee. The visual employed bee leads the onlooker bee to evacuate, so as to improve the efficiency of evacuation. The research results of this article can provide ideas for evacuation modeling and useful guidance for formulating evacuation strategies to reduce evacuation time and disaster losses.

关键词： artificial bee colony algorithm cellular automaton model evacuation visual employed bee fitness function

来源：评论

学校读者我要写书评

暂无评论

Airborne radar sub array partitioning method based on artificial bee colony algorithm 3

Airborne radar sub array partitioning method based on artifi...

引用

IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

作者： Zhang, Ze Su, Wentao Zhou, Kaifu Air Force Early Warning Acad Wuhan Hubei Peoples R China

ISBN: (纸本)9781538662434

Aiming at the problem of large amount of space-time adaptive processing technology for airborne early warning radar, a sub-array partitioning method based on artificial bee colony algorithm is proposed. The method uses the maximal improvement factor of the sub-array level as the optimization criterion, and uses the artificial bee colony algorithm to search for the optimal sub-matrix division method. Firstly, the basic principle of sub-array division is introduced, and then the sub-array division method of airborne early warning radar based on artificial bee colony algorithm is given in detail. The simulation analysis shows that compared with the traditional sub-matrix weighting method and the sub-array partitioning method based on genetic algorithm, the performance of the proposed space-time two-dimensional frequency response graph and improvement factor is significantly improved, and the actual performance of the current airborne early warning radar is improved. Engineering application has great reference value.

关键词： sub array division airborne early warning radar artificial bee colony algorithm

来源：评论

学校读者我要写书评

暂无评论

Unmanned Aerial Vehicles Fleet Control via artificial bee colony algorithm 4

Unmanned Aerial Vehicles Fleet Control via Artificial Bee Co...

引用

4th Conference on Control and Fault Tolerant Systems (SysTol)

作者： Saied, Majd Slim, Malak Mazeh, Hussein Francis, Clovis Shraim, Hassan Lebanese Univ Fac Engn Res Sci Ctr Engn Hadath Lebanon

ISBN: (纸本)9781728103808

This paper considers a distributed planner method for multiple unmanned aerial vehicles (UAV), based on a leaderless approach, using an artificial bee colony (ABC) optimization algorithm. The ABC algorithm is a metaheuristic optimization method inspired by the intelligent behavior of the honeybee swarm. The proposed ABC, implemented on each UAV independently, is used to compute velocity profiles that avoid obstacles and collisions between the UAVs while ensuring the fleet formation control and the target tracking. The proposed algorithm is demonstrated by simulations on Matlab/Simulink in different scenarios.

关键词： Trajectory artificial bee colony algorithm Unmanned aerial vehicles Cost function Matlab Decentralized control

来源：评论

学校读者我要写书评

暂无评论

Acceleration Harmonic Estimation using an Approach based artificial bee colony algorithm: A Hydraulic Shaking Table Application 27

Acceleration Harmonic Estimation using an Approach based Art...

引用

27th Signal Processing and Communications Applications Conference (SIU)

作者： Kockanat, Serdar Cumhuriyet Univ Elekt Elekt Muhendisligi Sivas Turkey

ISBN: (纸本)9781728119045

In this study, a harmonic estimation approach based artificial bee colony algorithm is proposed to identify and reduce the harmonic distortion caused by electrical and mechanical parts in the hydraulic shaking table. Reducing harmonic distortion and increasing acceleration in the hydraulic shaking table depend on modeling and cancelling of disruptive harmonics. Therefore, it is important to develop fast and accurate harmonic estimation applications. The proposed harmonic estimation approach was applied to the literature problems and the results were compared.

关键词： artificial bee colony algorithm hydraulic shaking table harmonic estimation

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Multi-population artificial bee colony algorithm for Multi-objective Flexible Job Shop Scheduling Problem 31

An Adaptive Multi-population Artificial Bee Colony Algorithm...

引用

31st Chinese Control And Decision Conference (CCDC)

作者： Cao, Yang Shi, Haibo Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Chinese Acad Sci Shenyang Inst Automat Shenyang 110016 Liaoning Peoples R China Chinese Acad Sci Inst Robot & Intelligent Mfg Shenyang 110016 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Key Lab Network Control Syst Shenyang 110016 Liaoning Peoples R China Shenyang Jianzhu Univ Informat & Control Engn Fac Shenyang 110168 Liaoning Peoples R China

ISBN: (纸本)9781728101057

In this paper, we propose a novel artificial bee colony algorithm for solving the multi-objective flexible job shop scheduling problem. In this algorithm, the whole population is divided into multiple subpopulations at each generation, and the size of each subpopulation is adaptively adjusted based on the information derived from its search results. Furthermore, the two mutation strategies implemented in the differential evolution algorithm are embedded in the proposed algorithm to facilitate the exchange of information in each subpopulation and between different subpopulations, respectively. Experimental results on the well-known benchmark multi-objective problems show that the improvements of the strategies are positive and that the proposed algorithm is better than or at least competitive to some previous multi-objective evolutionary algorithms.

关键词： multi-objective flexible job shop scheduling problem artificial bee colony algorithm multiple subpopulation

来源：评论

学校读者我要写书评

暂无评论

BnbeeEpi: An Approach of Epistasis Mining Based on artificial bee colony algorithm Optimizing Bayesian Network

BnBeeEpi: An Approach of Epistasis Mining Based on Artificia...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yang, Chen Gao, Hui Yang, Xuan Huang, Suiyu Kan, Yulong Liu, Jianxiao Huazhong Agr Univ Hubei Key Lab Agr Bioinformat Coll Informat Wuhan Peoples R China

ISBN: (纸本)9781728118673

Mining epistatic gene locus which influence complex disease has great research significance. Bayesian network (BN) has been widely used in many researches of epistasis mining. However, Bayesian network methods have disadvantages of being easily trapped into local optimum, low learning efficiency and not being able to handle large-scale network. In this work, we propose an epistasis mining approach based on artificial bee colony algorithm optimizing Bayesian network (BnbeeEpi). We apply artificial bee colony algorithm into the heuristic search strategy of Bayesian network, and then use two kinds of BN scoring functions (BIC and MIT) to calculate the network fitness value to avoid overfitting and reduce false positive rate. Moreover, we introduce decomposable BIC scoring to solve the large-scale network learning problem. Finally, we compare BnbeeEpi with current popular epistasis mining algorithms by using both simulated and real datasets. Experiment results show that omb-Fast has very short running time with its accuracy is as good as other methods, and BnbeeEpi has better F1-score and lower false positive rate compared to others.

关键词： Epistasis artificial bee colony algorithm Bayesian Network Markov Blanket

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161页 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：