检索结果-内蒙古大学图书馆

15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) / 14th Conference on PhD Research in Microelectronics and Electronics (PRIME)

作者： Akkan, Nihat Altun, Mustafa Sedef, Herman Yildiz Tech Univ Elect & Commun Engn Istanbul Turkey

ISBN: (纸本)9781538651537

Research on organic field effect transistors (OFETs) have been dramatically increased in the last decade, considering their lightweight and flexible structure as well as their practical and low-cost production. Building compact models and parameter extraction methods have also a critical importance in extensively using OFETs in electronic systems. In this paper, we propose a hybrid artificial bee colony algorithm as a parameter extraction tool and we compare it with purely mathematical and genetic algorithm-based parameter extraction methods. We apply these methods to a well-known OFET compact model for two different transistors, both having pentacene as organic semiconductor. First transistor (T1) is available in literature and the other one (T2) is fabricated in our laboratory. The proposed approach shows a good agreement with the experimental data of T1 with normalized RMS error (NRMSE) of 0.26%. However, it is 1.83% for T2 due to lack of measurements. If the shape of the data was same, the parameter extraction approaches would be expected to perform more successfully for both OFETs as well. Results are tabulated and performances of the methods are compared in the paper.

关键词： Compact models Organic field effect transistor (OFET) parameter extraction artificial bee colony algorithm genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

A novel energy-efficient routing scheme based on artificial bee colony algorithm in Wireless Body Area Networks

A novel energy-efficient routing scheme based on Artificial ...

引用

7th International Conference on Computer, Information and Telecommunication Systems (CITS)

作者： Yan, Jian Peng, Yuhuai Shen, Dawei Yan, Xinxin Deng, Qingxu Northeastern Univ Coll Comp Sci & Engn Shenyang 110819 Peoples R China

ISBN: (纸本)9781538645994

In the field of health care, the Wireless Body Area Networks(WBANs), through placed miniaturization, low power consumption of sensor nodes in patient's body or on the surface to measure a variety of physiological parameters, to monitor or diagnose the health of human body. However, in this process, WBANs nodes usually use batteries, especially for implantable flexible node it is difficult to accomplish the replacement of batteries, the energy that the node can carry is very limited, so the efficient use of energy is the most important problem to consider when designing WBANs routing algorithm. By considering the factors such as residual energy of node, the importance level of node, path cost and path energy difference ratio, this paper gives the definition of Optimal Path of Energy Consumption(OPEC) in WBANs, and The Optimal Energy Consumption artificial bee colony(ABC) Based WBANs(OEABC) is designed. The performance simulation is carried out to verify the effectiveness of the OEABC, compared with Genetic algorithm and Ant colony algorithm, it shows that t the OEABC has a fast convergence rate.

关键词： Wireless Body Area Networks Energy Consumption artificial bee colony algorithm

来源：评论

学校读者我要写书评

暂无评论

Model of Regional Renewable Energy Acceptance Capacity Based on artificial bee colony algorithm

Model of Regional Renewable Energy Acceptance Capacity Based...

引用

IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Zhuonan Li Xiaoqing Yan Jun Liu Jie Yang Nan Li Jiujin Zhao State Grid Energy Research Institute Co. Ltd State Grid Corporation of China Beijing China State Grid Corporation of China Beijing China

ISBN: (数字)9781728145747

ISBN: (纸本)9781728145754

In recent years, the development of global economy is facing the dual constraints of resources and the environment. It has become a global consensus to reduce the amount of fossil fuel power consumption and promote the development of renewable energy. At the same time, renewable energy is rapidly developing, which is gradually meeting more and more energy needs. Electricity is one of the most important ways to make largescale use of renewable energy. However, because of the intermittent and volatility of renewable energy, regardless of the high proportion of wind power or solar power generation, it will be sure to cause an impact on the operation of the power system. In this paper, a global renewable energy acceptance capacity prediction model has been proposed. And the empirically studies were analyzed to provide a basis for global energy conservation and emission reduction. In this paper, the development of power in typical regions of the world was summarized, and artificial bee colony algorithm integrated with production simulation was introduced to build a renewable energy acceptance capacity model based on the principle of maximizing the acceptance of renewable energy while maintaining stable operation of the grid. The ability to accept regional renewable energy generation in 2030 was also assessed.

关键词： Renewable energy sources artificial bee colony algorithm Power generation Production Optimization Profitability Load modeling

来源：评论

学校读者我要写书评

暂无评论

Optimum Fuel Cost in Load Flow Analysis of Smart Grid by Using artificial bee colony algorithm

Optimum Fuel Cost in Load Flow Analysis of Smart Grid by Usi...

引用

International artificial Intelligence and Data Processing Symposium (IDAP)

作者： Mehmet ÇINAR Asim Kaygusuz Bitlis Eren University Tatvan Vocational School Bitlis Turkey Electrical-Electronics Engineering Inonu University Malatya Turkey

Smart grids have a structure that can feel overloads with real-time communication infrastructure, regulate energy flow directions, optimize the use of renewable energy sources and reduce user costs. The smart grid vision aims to develop the power system towards a network that is well integrated with advanced measurement technologies, wide area communication, and automatic controls. The benefits include fast decision making, high controllability, and system reliability. Various optimization methods are used to reduce the optimum fuel cost in the load flow analysis in smart grids. The classical optimization methods that have been used before have now been replaced by intuitive and herd based algorithms. One of the herd based algorithms is the artificial bee colony algorithm. The use of an artificial bee colony algorithm is often preferred in smart grids since it is flexible and the number of parameters is less than other algorithms and the online run time is low. In this study, an artificial bee colony algorithm is mentioned from herd based algorithms to obtain optimum fuel cost in the smart grid. The program written in the MATLAB environment was applied to the IEEE30 test busbar system and the results were compared to other heuristic algorithms.

关键词： artificial bee colony algorithm Smart grids Fuels Mathematical model Generators Optimization Load flow analysis

来源：评论

学校读者我要写书评

暂无评论

Discovery of conserved regions in DNA sequences by artificial bee colony (ABC) algorithm based methods

引用

NATURAL COMPUTING 2019年第2期18卷 333-350页

作者： Karaboga, Dervis Aslan, Selcuk Erciyes Univ Dept Comp Engn Kayseri Turkey Ondokuz Mayis Univ Dept Comp Engn Samsun Turkey

The conserved regions between genomic sequences extracted from the different species give important information about the complex regulatory mechanisms of the transcription and translation processes. However, identification of these regulatory regions that are short DNA segments and called motifs is a major challenge in bioinformatics. With the avalanche of the newly sequenced genomic data and our evolving understanding of the characteristics of the regulatory mechanisms, there is still a need for developing fast and accurate motif discovery techniques or considerably refinement on the existing models. In this paper, we presented two different artificial bee colony algorithm based motif discovery techniques and investigated their serial and parallelized implementations. Experimental studies on the three real data sets showed that the proposed methods outperformed other metaheuristics in terms of similarity values of the predicted motifs.

关键词： Motif discovery Metaheuristics artificial bee colony algorithm

来源：评论

学校读者我要写书评

暂无评论

Robot Path Planning Using Improved artificial bee colony algorithm 3

Robot Path Planning Using Improved Artificial Bee Colony Alg...

引用

3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Li, Xiangmin Huang, Yonghui Zhou, Yijia Zhu, Xiaojin Shanghai Univ Sch Mechatron Engn & Automat Shanghai Peoples R China

ISBN: (纸本)9781538645093

By analyzing the research status of artificial bee colony algorithm and robot path planning, an improved artificial bee colony algorithm is proposed in this paper. Firstly, this paper elaborates the robot movement map environment modeling. Secondly, the robot path planning problem is transformed into a mathematical modeling problem, and the robot path planning is mathematically modeled. Thirdly, through the analysis of the robot planning of the traditional artificial bee colony algorithm, the concept of physical strength of bees was introduced. Fourthly, an improved artificial bee colony algorithm based on bee physical strength was proposed to accelerate the algorithm convergence and find the global optimal path. Finally, the artificial bee colony algorithm based on bee physical strength was simulated in the robot path planning method. By comparing the results of the two algorithms in path planning, the feasibility and effectiveness of algorithm proposed by the paper are verified.

关键词： bee physical strength Robot path planning artificial bee colony algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved Adaptive artificial bee colony algorithm 30

An Improved Adaptive Artificial Bee Colony Algorithm

引用

30th Chinese Control and Decision Conference (CCDC)

作者： Chen, Peng Li, Qing Xu, Cong Zhao, Yue-fei Dong, En-ji Cui, Jia-rui Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Beijing Key Lab Knowledge Engn Mat Sci Beijing 100083 Peoples R China Shandong Gold Grp Co Ltd Jinan 250101 Peoples R China

ISBN: (纸本)9781538612446

Aimingo the main disadvantages of artificial bee colony algorithm: slow searching speed arisen from the low exploitation of global information and the high possibility to be caught into local convergence, an improved algorithm is proposed in this paper. Two different location updating strategies are separately designed for employed bees and onlooker bees (when they are changed into employed bees). At first, the location (food source) updating formula tiir employed bees is developed by obtaining the current global optimal information so as to accelerate the convergence speed. In addition, an adaptive strategy is introduced to increase the probability by which the employed bees are changed into scouts, thereby strengthening the randomness and the possibility to find a better solution. After that, a new location updating method is presented tier onlooker bees in order to keep the randomness in a reasonable degree. The results of experiments on several test tnnctions show that this new algorithm has a satisfactory pertbrmance such as high quality of solutions and quick convergence speed.

关键词： artificial bee colony algorithm Adaptive Location Updating Strategy Scouts

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

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

引用

Conference on Control and Fault-Tolerant Systems (SysTol)

作者： Majd Saied Malak Slim Hussein Mazeh Clovis Francis Hassan Shraim Faculty of Engineering Research Scientific Center in Engineering Hadath Lebanon

ISBN: (纸本)9781728103815

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

Routing and Spectrum Allocation for Time Varying Traffic by artificial bee colony algorithm in Elastic Optical Networks 16

Routing and Spectrum Allocation for Time Varying Traffic by ...

引用

16th IEEE ISPA / 17th IEEE IUCC / 8th IEEE BDCloud / 11th IEEE SocialCom / 8th IEEE SustainCom

作者： Xu, Gang Li, Xiaoxiao Yuan, Guojun Wang, Zhan Tan, Guangming An, Xuejun Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Huawei Technol Co Ltd Beijing Peoples R China Inst Comp Technol Beijing Peoples R China

ISBN: (纸本)9781728111414

Elastic optical networks are considered to be a promising technology in high-speed network interconnections. In order to address the time-varying routing and spectrum allocation problem in elastic optical networks, we propose a algotithm by artificial bee colony algorithm considering the time varying traffic (ABC-TV). The objective of the proposed ABC-TV algorithm is to minimize both the network spectrum utilization and the average path length criterions on the effect of benefis by sharing of spectrum slots among spectrum-adjacent connections. The algorithm is simulated in different networks (NSFNET and EON). The results reveal that the algorithm improves the spectrum utilization and minimizes the number of the used frequency slots compared to other considered approaches in elastic optical networks.

关键词： elastic optical network time varying traffic artificial bee colony algorithm routing and spectrum allocation

来源：评论

学校读者我要写书评

暂无评论

Comparison between Deterministic methods and the artificial bee colony algorithm, for the Economic Load Dispatch, turning off the Generators of Higher Cost. 13

Comparison between Deterministic methods and the Artificial ...

引用

13th IEEE International Conference on Industry Applications (INDUSCON)

作者： Nascimento, Manoel Junior, Jorge Freitas, Carlos Moraes, Nadime Junior, Milton Alencar, David Inst Technol & Educ Galileo Amazon ITEGAM Res Manaus Amazonas Brazil Univ State Amazonas USA Res Manaus Amazonas Brazil Eletrobras Amazonas GT Generat Manaus Amazonas Brazil

ISBN: (纸本)9781538679951

The reduction of fuel costs in the production of electric power in Power Plants (PP) is one of the most significant problems in this industry. This problem is known as Optimization of the Economic Load Dispatch (ELD). The objective of this paper is to analyze the application of the artificial bee colony algorithm (ABC) metaheuristics, considering the incremental cost of fuel and the shutdown of the engines with the highest fuel cost per MWh in UTEs whose installed capacity exceeds the required power demand. Several techniques have been developed to solve the problem of ELD, among them: lambda iteration method, gradient method, Newton method and so on. The results for this study with the application of ABC, considering the shutdown of the generators of higher cost per MWh, obtaining a mean reduction of 6.54% in the total fuel cost, compared to the classic solutions that use all engines of the UTE. In addition to cost reduction, this proposal helps the specialist responsible for the management of the UTE in the decision making of the preventive maintenance of the engines that are not being used at the moment of the optimization, improving not only the generation efficiency, but also the generation planning of the plant.

关键词： artificial bee colony algorithm Economic Load Dispatch Mathematical Methods Power Plants

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：