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

229 篇 期刊文献
48 篇 会议

馆藏范围

277 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

262 篇 工学
- 163 篇 计算机科学与技术...
- 84 篇 电气工程
- 31 篇 石油与天然气工程
- 30 篇 信息与通信工程
- 21 篇 机械工程
- 18 篇 控制科学与工程
- 17 篇 动力工程及工程热...
- 17 篇 环境科学与工程（可...
- 12 篇 软件工程
- 10 篇 土木工程
- 8 篇 化学工程与技术
- 6 篇 材料科学与工程（可...
- 5 篇 力学（可授工学、理...
- 5 篇 电子科学与技术（可...
- 5 篇 水利工程
- 4 篇 仪器科学与技术
- 3 篇 交通运输工程
- 3 篇 城乡规划学
38 篇 管理学
- 37 篇 管理科学与工程(可...
- 3 篇 工商管理
27 篇 理学
- 14 篇 数学
- 7 篇 化学
- 3 篇 物理学
- 3 篇 生物学
- 3 篇 统计学（可授理学、...
9 篇 医学
- 5 篇 基础医学(可授医学...
- 4 篇 临床医学
5 篇 经济学
- 5 篇 应用经济学
3 篇 教育学
- 3 篇 心理学(可授教育学...
- 2 篇 教育学
2 篇 法学
1 篇 农学

主题

277 篇 crow search algo...
31 篇 optimization
20 篇 feature selectio...
14 篇 particle swarm o...
12 篇 microgrid
10 篇 sine cosine algo...
10 篇 classification
9 篇 multi-objective ...
9 篇 swarm intelligen...
9 篇 genetic algorith...
8 篇 search problems
7 篇 deep learning
7 篇 metaheuristic
7 篇 grey wolf optimi...
6 篇 metaheuristics
6 篇 feature extracti...
6 篇 energy managemen...
5 篇 flower pollinati...
5 篇 distributed gene...
5 篇 response surface...

机构

11 篇 grad univ adv te...
4 篇 duy tan univ ins...
3 篇 cairo univ fac c...
3 篇 grad univ adv te...
3 篇 king fahd univ p...
3 篇 natl kaohsiung u...
3 篇 iit ism dept ele...
3 篇 iit ism dept ele...
2 篇 dongyang univ de...
2 篇 indian inst tech...
2 篇 school of electr...
2 篇 natl inst techno...
2 篇 univ castilla la...
2 篇 bannari amman in...
2 篇 menoufia univ fa...
2 篇 indian inst tech...
2 篇 univ isfahan dep...
2 篇 indian inst tech...
2 篇 univ fed rio de ...
2 篇 esfahan reg elec...

作者

11 篇 askarzadeh alire...
10 篇 dey bishwajit
7 篇 bhattacharyya bi...
6 篇 hassanien aboul ...
4 篇 babu naladi ram
4 篇 sultana n.
4 篇 sahu tirath pras...
3 篇 wu ze-xue
3 篇 slowik adam
3 篇 garcia marquez f...
3 篇 janghel rekh ram
3 篇 gupta deepak
3 篇 saxena akash
3 篇 sheta alaa
3 篇 khan a.
3 篇 huang ko-wei
3 篇 rezaie-balf moha...
3 篇 taher s.
3 篇 ozturk ali
2 篇 dhanya k. m.

语言

264 篇 英文
12 篇 其他
1 篇 阿拉伯文
1 篇 中文

检索条件"主题词=Crow Search Algorithm"

共 277 条记录，以下是71-80 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：

Resilient Wide-Area Damping Controller Design Using crow search algorithm 7th

Resilient Wide-Area Damping Controller Design Using Crow Sea...

引用

7th International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS)

作者： Bento, Murilo E. C. Univ Fed Rio de Janeiro BR-21941909 Rio De Janeiro RJ Brazil

The use of real-time data from Phasor Measurement Units (PMUs) to compose a Wide-Area Damping Controller (WADC) proved to be effective in damping inter-area power system oscillation modes. However, PMU data is vulnerable to cyber-attacks that can compromise the functioning of the WADC communication channels and the small-signal stability of the closed-loop control system. This article proposes a WADC design method based on an optimization problem to ensure the resilience of WADC to permanent loss of communication channels. The optimization problem is solved using the crow search algorithm. Case studies were done for the IEEE 68-bus system. The results of modal analysis and non-linear simulations in the time domain show the effectiveness of the proposed method. Copyright (c) 2022 The Authors. This is an open access article under the CC-BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Power System Control Small-Signal Stability Smart Grid Wide-Area Damping Control Cyber-Security crow search algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimal Sizing and Placement of Distributed Generation in Egyptian Radial Distribution Systems Using crow search algorithm

Optimal Sizing and Placement of Distributed Generation in Eg...

引用

International Conference on Innovative Trends in Computer Engineering (ITCE)

作者： Ismael, Sherif M. Aleem, Shady H. E. Abdel Abdelaziz, Almoataz Y. Enppi Elect Engn Div Engn Petr & Proc Ind Cairo Egypt 15th May Higher Inst Engn Math & Phys Sci Cairo Egypt Ain Shams Univ Fac Engn Elect Power & Machines Dept Cairo Egypt

ISBN: (纸本)9781538608791

In recent years, the integration of distributed generation (DG) sources in electrical distribution systems has become increasingly essential due to their multiple advantages such as power loss reduction, voltage profile improvement, and relieved system's congestion. These benefits can be obtained by optimal sizing and placement of the DG sources. In this paper, a recent population-based optimization, known as crow search algorithm (CSA), is used for the sizing and placement of DG in radial distribution networks. Loss sensitivity factor (LSF) is used to initially determine the most candidate buses for DG installation. Three DG types have been examined. The proposed algorithm is applied to a real Egyptian distribution system, and the achieved results revealed the effectiveness of the CSA in reducing the network losses and maximizing the overall saving while considering various load types such as constant power, constant impedance, and constant current.

关键词： Loss reduction optimal DG sizing and placement radial distribution networks crow search algorithm

来源：评论

学校读者我要写书评

暂无评论

A Whole crow search algorithm for Solving Data Clustering

A Whole Crow Search Algorithm for Solving Data Clustering

引用

Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Wu, Ze-Xue Huang, Ko-Wei Girsang, Abba Suganda Natl Kaohsiung Univ Sci & Technol Dept Elect Engn Kaohsiung Taiwan Bina Nusantara Univ BINUS Grad Program Dept Comp Sci Comp Sci Jakarta 11480 Indonesia

ISBN: (纸本)9781728112299

Data clustering is a well-known data mining approach that usually used to minimizes the intra distance but maximizes inter distance of each data center. The cluster problem has been proved to be an NP-hard problem. In this paper, a hybrid algorithm based on Whole optimization algorithm (WOA) and crow search algorithm (CSA) is proposed, namely HWCA. The HWCA algorithm has the advantages of the search strategy of the WOA and CSA. In addition to, there are two operators used to improve the quality of solution, namely hybrid individual operator and enhance diversity operator. The hybrid individual operator is used to exchanges individuals from the WOA and CSA systems by using the roulette wheel approach. In other hand, the HWCA performs enhance diversity operator to improve the quality of each system. More over, the HWCA is incorporated with center optimization strategy to enhance diversity of each system. In the performance evaluation, the proposed MPGO algorithm was comparison WOA and CSA algorithm with six well-known UCI benchmarks. The results show that the proposed algorithm has a higher measure of accuracy rate with comparison algorithms.

关键词： Data Clustering Whole optimization algorithm crow search algorithm Hybrid approach

来源：评论

学校读者我要写书评

暂无评论

A Fuzzy crow search algorithm for Solving Data Clustering Problem 33rd

A Fuzzy Crow Search Algorithm for Solving Data Clustering Pr...

引用

33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE)

作者： Wu, Ze-Xue Huang, Ko-Wei Yang, Chu-Sing Natl Kaohsiung Univ Sci & Technol Dept Elect Engn Kaohsiung Taiwan Natl Cheng Kung Univ Inst Comp & Commun Engn Dept Elect Engn Tainan Taiwan

ISBN: (纸本)9783030557881;9783030557898

The crow is one of the most intelligent bird and infamous for observing other birds so that they can steal their food. The crow search algorithm (CSA), a nature-based optimizer, is inspired by the social behavior of crows. Scholars have applied the CSA to obtain efficient solutions to certain function and combinatorial optimization problems. Another popular and powerful method with several real-world applications (e.g., energy, finance, marketing, and medical imaging) is fuzzy clustering. The fuzzy c-means (FCM) algorithm is a critical fuzzy clustering approach given its efficiency and implementation easily. However, the FCM algorithm can be easily trapped in the local optima. To solve this data clustering problem, this study proposes a hybrid fuzzy clustering algorithm combines the CSA and a fireworks algorithm. The algorithm performance is evaluated using eight well-known UCI benchmarks. The experimental analysis concludes that adding the fireworks algorithm improved the CSA's performance and offered better solutions than those by other meta-heuristic algorithms.

关键词： Fuzzy c-means Data clustering crow search algorithm Fireworks algorithm Meta heuristic algorithm

来源：评论

学校读者我要写书评

暂无评论

Chaotic crow search algorithm for Engineering and Constrained Problems 12

Chaotic Crow Search Algorithm for Engineering and Constraine...

引用

12th International Conference on Computer Engineering and Systems (ICCES)

作者： Sayed, Gehad Ismail Darwish, Ashraf Hassanien, Aboul Ella Cairo Univ Fac Comp & Informat Cairo Egypt Helwan Univ Fac Sci Helwan Egypt SRGE Giza Egypt

ISBN: (纸本)9781538611913

This paper proposed a hybrid algorithm called chaotic crow search algorithm (CCSA) for solving constrained and engineering problems. The proposed CCSA is based on chaotic theory and crow search algorithm (CSA). CSA is one of the recent bio-inspired algorithm proposed by Askarzadeh in 2016. Five well-known chaotic maps are employed in the optimization process of CSA. The performance of CCSA algorithm is evaluated using three engineering problems and two other constrained problems. These problems are a three-bar truss, tension/compression spring design, and welded beam problems. The experimental results reveal that CCSA has comprehensive superiority in solving constrained optimization problems. In addition, the results show that the proposed CCSA is promising optimization algorithm compared with other well-known and popular algorithms.

关键词： Nature-inspired algorithm crow search algorithm Chaotic theory Constrained optimization problems

来源：评论

学校读者我要写书评

暂无评论

Massive Conscious Neighborhood-Based crow search algorithm for the Pseudo-Coloring Problem 15th

Massive Conscious Neighborhood-Based Crow Search Algorithm f...

引用

15th International Conference on Advances in Swarm Intelligence (ICSI)

作者： Viana, Monique Simplicio Contreras, Rodrigo Colnago Pessoa, Paulo Cavalcanti dos Santos Bongarti, Marcelo Adriano Zamani, Hoda Guido, Rodrigo Capobianco Morandin Junior, Orides Univ Fed Sao Carlos Sao Carlos SP Brazil Sao Paulo State Univ UNESP Inst Biosci Letters & Exact Sci Sao Jose Do Rio Preto SP Brazil Univ Sao Paulo Sao Carlos SP Brazil Weierstr Inst Berlin Germany Islamic Azad Univ Fac Comp Engn Najafabad Iran Islamic Azad Univ Najafabad Branch Big Data Res Ctr Najafabad Iran

ISBN: (纸本)9789819771806;9789819771813

The pseudo-coloring problem (PsCP) is a combinatorial optimization challenge that involves assigning colors to elements in a way that meets specific criteria, often related to minimizing conflicts or maximizing some form of utility. A variety of metaheuristic algorithms have been developed to solve PsCP efficiently. However, these algorithms sometimes struggle with the quality of solutions, impacting their ability to achieve optimal or near-optimal results reliably. To overcome these issues, this study introduces an adapted conscious neighborhood-based crow search algorithm (CCSA) and a massive variant of CCSA specifically tailored for PsCP. The performance of CCSA and MCCSA are evaluated on real and synthetic images and compared with state-of-the-art optimizers. The results showed that the adapted CCSA and MCCSA outperformed offering an effective strategy for image pseudo-colorization.

关键词： Optimization crow search algorithm Massive Local search Pseudo-Coloring Problem Color Spaces

来源：评论

学校读者我要写书评

暂无评论

Accurate design of digital rational approximations to the fractional order integrator using crow search algorithm

Accurate design of digital rational approximations to the fr...

引用

7th IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

作者： Mahata, Shibendu Kar, Rajib Mandal, Durbadal Saha, Suman Kumar NIT Durgapur Dept Elect & Commun Engn Durgapur India NIT Raipur Dept Elect & Commun Engn Raipur Madhya Pradesh India

ISBN: (纸本)9781509006120

This paper presents an accurate design of stable, minimum phase, and wideband digital rational approximations to the Fractional Order Integrators (FOIs) based on a recently proposed nature-inspired metaheuristic optimization approach motivated by the intelligent manners of crows called crow search algorithm (CSA). The proposed CSA based Digital Fractional Order Integrators (DFOIs) are compared with those of the designs based on four well-known nature-inspired optimization algorithms in terms of different frequency response performance indices and computational efficiency. The CSA based design of filter orders 5 and 6 achieves improvement of 5.9 dB and 10.3 dB, respectively, over state-of-the-art designs in terms of root mean square magnitude error metric, and also demonstrates a competitive performance with respect to the phase response. The proposed work demonstrates that CSA can be considered as an efficient optimizer for the design of DFOIs.

关键词： fractional order integrator crow search algorithm metaheuristic optimization digital signal processing

来源：评论

学校读者我要写书评

暂无评论

A modified crow search algorithm with niching technique for numerical optimization 17

A modified crow search algorithm with niching technique for ...

引用

17th IEEE Student Conference on Research and Development (SCOReD)

作者： Islam, Jahedul Vasant, Pandian M. Negash, Berihun Mamo Watada, Junzo Univ Teknol PETRONAS Dept Fundamental & Appl Sci Seri Iskandar 32610 Perak Darul Rid Malaysia Univ Teknol PETRONAS Dept Petr Engn Seri Iskandar 32610 Perak Darul Rid Malaysia Univ Teknol PETRONAS Dept Comp & Informat Sci Seri Iskandar 32610 Perak Darul Rid Malaysia

ISBN: (纸本)9781728126135

This paper proposes a modified crow search algorithm with local search and niching technique. The primitive crow search algorithm is a newly developed population-based algorithm which gained attention from the researchers of many fields as it needs only one parameter to be tuned. Despite its easy implementation, crow search algorithm has weakness to find global optima and suffers from slow convergence rate in multi-modal optimization problems. The search agent of the primitive crow search algorithm does not always follow the best solution obtained so far. Another disadvantage is that the search agents updates its location randomly. In order to enhance its searching capacity, a global search operator is introduced. Also, The proposed method modifies the search techniques and incorporates niching method to increase exploration capacity. The proposed technique is tested on 23 benchmark functions. The results of the proposed method demonstrated faster convergence rate and better solution in most cases when compared with the standard crow search algorithm.

关键词： crow search algorithm Niching technique benchmark function Metaheuristic Optimization Optimization technique

来源：评论

学校读者我要写书评

暂无评论

Global Best Guided Binary crow search algorithm for Feature Selection

Global Best Guided Binary Crow Search Algorithm for Feature ...

引用

International Conference on Distributed Computing and Optimization Tech-niques (ICDCOT)

作者： Agarwal, Unnati Sahu, Tirath Prasad Natl Inst Technol Raipur Dept Informat Technol Raipur India

ISBN: (纸本)9789811922817;9789811922800

Feature selection is a universal combinatorial optimization problem that is used to enhance the characteristics of high-dimensional datasets by eliminating redundant data and selecting prominent features to generate acceptable classification performance. In optimization problems, the objective function can have several local optima, but the ultimate aim is to identify global optima or values close to global optimum. The crow search algorithm (CSA) is a recently suggested metaheuristic algorithm, implemented to feature selection issues systematically. It is witnessed that the CSA solution search equation is suitable in exploration but poor in exploitation. In this paper, a global best-guided solution to CSA (G-CSA) is proposed and applied to pick the optimum feature subset in a wrapper mode to boost exploitation for classification purposes. The efficiency of the proposed methodology is examined on twelve standard UCI datasets. When comparing experimental results, it is clear that the proposed algorithm is superior to its challengers.

关键词： Classification crow search algorithm Feature selection Optimization

来源：评论

学校读者我要写书评

暂无评论

Exploiting the crow search algorithm to Overcome the Bandpass Problem 2nd

Exploiting the Crow Search Algorithm to Overcome the Bandpas...

引用

2nd International Conference on Forthcoming Networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： Al-Sabaawi, Ali M. Ahmed Hussein, Mohsin Hasan Al Gburi, Hussien Qahtan Marhoon, Hayder Abdulameer Nineveh Univ Fac Informat Technol Software Dept Mosul Iraq Gifted Student Sch Nineveh Minist Educ Mosul Iraq Univ Kerbala Fac Comp Sci & Informat Technol Karbala Iraq Minist Educ Adm Affairs IDs Baghdad Iraq Al Ayen Univ Sci Res Ctr Informat & Commun Technol Res Grp Thi Qar Iraq

ISBN: (纸本)9783031628801;9783031628818

In telecommunication networks, fiber optics is used to transfer data from a source to a destination. One of the common problems in the transmission process is called the Bandpass Problem (BP). BP concentrates on establishing a model that can transfer information on various wavelengths at a minimum cost usingwavelength division multiplexing technology. The data is organized in packets involving various columns. The minimum cost can be obtained by finding the best row permutation in terms of cost in an acceptable time. Sundry studies have been exploited to find the minimum cost at an appropriate time. Although previous studies have reduced the cost and decreased the execution time, they have not reached optimality. Therefore, in this article, a mining technique using a meta-heuristic method called the crow search algorithm (CSA) was applied to achieve the aforementioned goal. The proposed method can find the global minimum cost by keeping the positions of the best row permutation in an acceptable time. The row permutation remains unchanged unless a new better row permutation is computed. The findings exhibited a great deal of insights into how the CSA method outperformed the genetic algorithm, simulated annealing, and the ant bee colony in most cases.

关键词： Bandpass problem crow search algorithm Metaheuristic algorithm

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28页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：