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检索条件"主题词=Cuckoo search algorithm"

共 803 条记录，以下是21-30 订阅

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cuckoo search algorithm for Integration Wind Power Generation to Meet Load Demand Growth 17

Cuckoo Search Algorithm for Integration Wind Power Generatio...

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17th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power Systems Europe Conference (IEEE I and CPS Europe)

作者： Makhloufi, Saida Koussa, Saheb Djohra Pillai, Gobind Gopalakrishna Ctr Dev Energies Renouvelables BP 62Route Observ Bouzareah Algiers 16340 Algeria Teesside Univ Sch Sci & Engn Stephenson Bldg Middlesbrough TS1 3BA Tees Valley England

ISBN: (纸本)9781538639177

This article presents a new efficient method for optimal placement and sizing of wind power generators (WPG) in power networks with an objective of coping maximum loadability margin and minimizing reactive power loss. A new total voltage stability based on continuation power flow (CPF) theorem is used to model the problem. The method also highlights the effects of random characteristics of wind resources on loadability margin. cuckoo search algorithm is applied to find the optimum placement and sizing of WPG since it presents several advantages of few control parameters, high solution quality and fast computational time. The experiment results of IEEE 9-bus show that the optimum location and size of WPGs are different from those considering power system loss and voltage deviation in objective function of the optimization process. A significant effect of the random characteristic of wind resource during load demand growth is revealed. The simulation results show that the CSA can be an efficient and promising method for optimal placement and sizing of WPG in power networks problem.

关键词： continuation power flow cuckoo search algorithm loadability margin power loss reduction wind power voltage stability index

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cuckoo search algorithm Based Optimal Tuning of PID Structured TCSC Controller 1

Cuckoo Search Algorithm Based Optimal Tuning of PID Structur...

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1st International Conference on Computational Intelligence in Data Mining (ICCIDM)

作者： Sethi, Rupashree Panda, Sidhartha Sahoo, Bibhuti Prasad Veer Surendra Sai Univ Technol Dept Elect Engn Burla 768018 Odisha India

ISBN: (纸本)9788132222057;9788132222040

cuckoo search algorithm (CSA) is one of the new nature inspired meta-heuristic algorithms for solving many engineering optimization problems. This paper investigates the application of CSA technique for the tuning of proportional integral derivative (PID) structured Thyristor Controlled Series Compensator (TCSC) based controller to improve damping of the power system when subjected to different disturbances at various loading conditions. The dynamic performances of proposed approach are analyzed by taking an example of Single Machine Infinite Bus (SMIB) power system in MATLAB/Simulink environment. The superiority of the proposed approach is demonstrated by comparing the simulation results with previously published technique such as Non-dominated Sorting Genetic algorithm-II (NSGA-II) based TCSC controller for the same power system.

关键词： cuckoo search algorithm Thyristor controlled series compensator PID controller Power system stability Single-machine infinite-bus system Non-dominated sorting genetic algorithm-II

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cuckoo search algorithm with Interactive learning for Economic Dispatch 36

Cuckoo Search Algorithm with Interactive learning for Econom...

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第36届中国控制会议

作者： Jian Zhao Shixin Liu Yifan Wang Collage of Information Science and Engineering Northeastern University School of Science University of Science and TechnologyLiaoningAnshan

ISBN: (纸本)9781538629185

This paper presents a proposed cuckoo search algorithm with interactive learning and linear decreasing probability strategy（CSIL） to solve the economic dispatch problem with power balance,prohibited operating zones,valve point effect,and ramp *** the new approach,interactive learning strategy helps the nest to exchange good information from each ***,the linear decreasing probability is used to balance exploration and exploitation of the *** effectiveness of the CSIL algorithm has been verified on different test *** results indicate that the CSIL algorithm performs better than,or at least comparable to state-of-the-art methods from literature.

关键词： cuckoo search algorithm Economic dispatch Interactive learning Linear decreasing probability Prohibited operating zones Valve point effect Ramp rate limits Power balance

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cuckoo search algorithm Based Cost Minimization by Optimal DG and Capacitor Integration in Radial Distribution Systems 20

Cuckoo Search Algorithm Based Cost Minimization by Optimal D...

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20th National Power Systems Conference (NPSC)

作者： Biswal, Suman Ghosh, Arnab Kumar, Sajjan Chakraborty, Niladri Goswami, Swapan Kumar Jadavpur Univ Power Engn Dept Kolkata India Jadavpur Univ Elect Engn Dept Kolkata India

ISBN: (纸本)9781538661598

Optimal sizing and sitting of Capacitor alone and various combinations of Capacitor with Distributed Generations (DG) units have been done by cuckoo search algorithm (CSA) with the goal of minimization of overall cost. Such allocations of reactive and real power sources not only reduces the total cost but minimizes the real power loss, enhances the voltage profile and provide reliability benefits also. The formulated cost function depends upon cost per unit loss, installation cost due to Capacitor and DG allocation and also the cost associated for per kVAr and kW injection of Capacitor and DG respectively. Basic reliability index such as failure rate has been estimated before and after allocation of the reactive and real power sources. The proposed technique has been implemented in standard IEEE 33 bus radial distribution system to check the effectiveness of the proposed method. It has been found that the performance of two Capacitor and two DG allocation is the best among the chosen combinations of Capacitors and DGs.

关键词： Cost Optimization Optimal Capacitor and DG Allocation cuckoo search algorithm Reliability

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cuckoo search algorithm with Deep search 3

Cuckoo Search Algorithm with Deep Search

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3rd IEEE International Conference on Computer and Communications (ICCC)

作者： Cai Zefan Yang Xiaodong Shunde Polytech Elect & Informat Engn Deptartment Shunde Peoples R China

ISBN: (纸本)9781509063529

cuckoo search algorithm (CS) is a kind of bionic swarm optimization algorithm, which is simple and convenient. Although it has obvious advantages, it cannot converge to the optimal solution when dealing with high dimensional complex problems, so its global search ability needs to be improved. In this paper, opposition-based learning (OBL) strategy and local enhanced search are introduced to improve the basic CS. In the selection stage, an opposition-based swarm (ob-swarm) is generated on the basis of the original swarm. If an old cuckoo individual from the original swarm may be discarded, three cuckoo individuals are randomly selected from the ob-swarm to produce a new individual. The old one will be replaced by the new one if the new one is better. At the end of each generation, a potential optimal solution will be searched for locally around the current global optimal solution in the evolution direction. This local searching operation can make up the problem that the search step may be not appropriate. The simulation results show that the improved algorithm improves the global search ability, convergence speed and convergence precision of the algorithm.

关键词： cuckoo search algorithm bionic swarm optimization algorithm paralleled algorithm opposition-based learning deep search

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cuckoo search algorithm for Solving Numerical Integration 5

Cuckoo Search Algorithm for Solving Numerical Integration

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)

作者： Deng Zexi Huang Feidan Guizhou Univ Engn Sci Coll Sci Bijie 551700 Peoples R China Guangxi Key Lab Hybrid Computat & IC Design Anal Nanning 530006 Peoples R China

ISBN: (纸本)9781479987306

A new approach based on cuckoo search algorithm is presented to solve numerical integration problem. cuckoo search algorithm is used to optimize the node points on the integral range in order to get a more precise result. This method can not only compute usual definite for any functions, but also calculate singular integral and oscillatory integral. The simulation results show that the cuckoo search algorithm for solving numerical integration has higher precision.

关键词： cuckoo search algorithm definite integral numerical integration inequality point segmentation

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cuckoo search algorithm with Balanced Learning to Solve Logistics Distribution Problem 18th

Cuckoo Search Algorithm with Balanced Learning to Solve Logi...

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18th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

作者： Li, Juan Liu, Han-xia Wuhan Business Univ Sch Informat Engn Wuhan 430058 Peoples R China Wuhan Text Univ Coll Int Business & Econ Wuhan 430202 Peoples R China

ISBN: (纸本)9789819722747;9789819722754

cuckoo search (CS) has been successfully applied to solve various optimization problems. Despite its simplicity and efficiency, the CS is easy to suffer from the premature convergence and fall into local optimum. In this study, a differential CS extension with balanced learning namely DFCS is proposed. In DFCS, two sets including the better fitness set (FSL) and the better diversity set (DSL) are produced in the iterative process. Two excellent individuals are selected from two sets to participate, which improved the search ability by learning their beneficial behaviors in search process. The performance of DFCS algorithm is evaluated on the logistics distribution problem. The results show that DFCS algorithm has stronger competitiveness in solving logistics distribution problem than CS algorithm.

关键词： cuckoo search algorithm Balanced-Learning Optimization algorithm Diversity

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cuckoo search algorithm for optimization of sequence in pcb holes drilling process 1st

引用

1st International Conference on Emerging Trends in Science, Engineering and Technology, INCOSET 2012

作者： Lim, Wei Chen Esmonde Kanagaraj, G. Ponnambalam, S.G. School of Engineering Monash Univeristy Sunway Campus Bandar Sunway Malaysia

ISBN: (纸本)9788132210061

Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems. Most electronic manufacturing industries use computer numerical controlled machines for drilling holes on printed circuit board. To increase PCB manufacturing productivity, a good option is to minimize the drill path route using an optimization algorithm. In order to find the best sequence of operations that achieve the shortest drill path, cuckoo search algorithm is proposed. The performance of the proposed algorithm is tested and verified with two case studies from the literature. The computational experience conducted in this research indicates that the proposed algorithm is capable to efficiently find the optimal route for PCB holes drilling process. © Springer India 2012.

关键词： cuckoo search algorithm Drill path optimization PCB holes drilling process

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cuckoo search algorithm and K-Means for IFS Reconstruction of Fractal Colored Images 8

Cuckoo Search Algorithm and K-Means for IFS Reconstruction o...

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8th International Conference on Soft Computing & Machine Intelligence (ISCMI)

作者： Galvez, Akemi Fister, Iztok Deb, Suash Iglesias, Andres Toho Univ Fac Sci Dept Inf Sci 2-2-1 Miyama Funabashi Chiba 2748510 Japan Univ Cantabria Dept Appl Maths & Comp Sci Avda Castros Santander 39005 Spain Univ Maribor Fac Elect Engn & Comp Sci Maribor Slovenia Victoria Univ Decis Sci & Modeling Program Melbourne Vic Australia

ISBN: (纸本)9781728186832

Fractal image reconstruction through iterated function systems (IFS) is a very hot topic of research. Yet, existing methods have focused exclusively on binary or gray level images, and the case of colored images has been largely ignored so far. This paper aims to tackle this issue for colored fractal images by coupling a swarm intelligence method called cuckoo search algorithm and k-means clustering. To show the performance of the method, an illustrative example is discussed in detail. The numerical and graphical results show that the method is effective and very promising, as it is able to recover both the geometry and color of the input fractal image, but it still yields sub-optimal solutions to this problem and should be further improved.

关键词： Fractal reconstruction iterated function systems colored images cuckoo search algorithm k-means

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cuckoo search algorithm as an Optimizer for Optimal Reactive Power Dispatch Problems 3

Cuckoo Search Algorithm as an Optimizer for Optimal Reactive...

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3rd IEEE International Conference on Control, Automation and Robotics (ICCAR)

作者： Sulaiman, Mohd Herwan Mustaffa, Zuriani Univ Malaysia Pahang Fak Kejuruteraan Elekt & Elekt Pekan Pahang Malaysia Univ Malaysia Pahang Fak Sistem Komputer & Kejuruteraan Perisian Gambang Pahang Malaysia

ISBN: (纸本)9781509060887

This paper presents the application of cuckoo search algorithm (CSA) in optimizing the control variables of power system operation in solving the optimal reactive power dispatch (ORPD) problem. CSA is inspired by the parasitic behavior of cuckoo birds in reproduction process based on the probability for a host bird in discovering an alien egg in its nest. The implementation of CSA in determining the optimal value of control variables such as generator bus voltages, transformer tap setting and shunt reactive elements in order to obtain the minimize loss in the system. In this paper, IEEE-30 bus system is utilized to show the effectiveness of CSA and then the comparison with other nature inspired algorithms will be presented.

关键词： cuckoo search algorithm loss minimization nature inspired algorithms optimal reactive power dispatch

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