检索结果-内蒙古大学图书馆

Drag polar modelling for jet aircraft using 6-DOF model data via cuckoo search algorithm

AERONAUTICAL JOURNAL 2025年第1333期129卷 627-650页

作者： Yurttav, G. Mutlu, T. Baklacioglu, T. Turkish Aerosp Ind TAI TUSAS TR-06980 Ankara Turkiye Eskisehir Tech Univ Fac Aeronaut & Astronaut TR-26555 Eskisehir Turkiye

This paper describes a reverse engineering methodology so as to accomplish an aero-propulsive modelling (APM) through implementing a drag polar estimation for a case study jet aircraft in case of the absence of the thrust data of the aircraft's engine. Since the available thrust force can be replaced by the required thrust force for the sustained turn, this approach allows the elimination for the need of the thrust parameter in deriving an aero-propulsive model utilising equations of motion. Two different modelling approaches have been adopted: (i) implementing the 6-DOF model data for sustained turn and climb flight to achieve induced drag model;and then incorporating the glide data to obtain the total drag polar model;(ii) using the 6-DOF model data together with introducing the effect of C L -alpha dependency. The error assessments showed that the derived CSA models were able to predict the drag polar values accurately, providing linear correlation coefficient (R) values equal to 0.9982 and 0.9998 for the small alpha assumption and C L -alpha dependency, respectively. A direct comparison between the trimmed C D values of 6-DOF model and the values predicted by the CSA model was accomplished, which yielded highly satisfactory results within high subsonic and transonic C L values.

关键词： drag polar modelling aircraft flight phases cuckoo search algorithm optimisation

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy

引用

EXPERT SYSTEMS WITH APPLICATIONS 2014年第7期41卷 3538-3560页

作者： Bhandari, Ashish Kumar Singh, Vineet Kumar Kumar, Anil Singh, Girish Kumar Indian Inst Informat Technol Design & Mfg Jabalpur 482011 Madhya Pradesh India Indian Inst Technol Roorkee Dept Elect Engn Roorkee 247667 Uttar Pradesh India

The objective of image segmentation is to extract meaningful objects. A meaningful segmentation selects the proper threshold values to optimize a criterion using entropy. The conventional multilevel thresholding methods are efficient for bi-level thresholding. However, they are computationally expensive when extended to multilevel thresholding since they exhaustively search the optimal thresholds to optimize the objective functions. To overcome this problem, two successful swarm-intelligence-based global optimization algorithms, cuckoo search (CS) algorithm and wind driven optimization (WDO) for multilevel thresholding using Kapur's entropy has been employed. For this purpose, best solution as fitness function is achieved through CS and WDO algorithm using Kapur's entropy for optimal multilevel thresholding. A new approach of CS and WDO algorithm is used for selection of optimal threshold value. This algorithm is used to obtain the best solution or best fitness value from the initial random threshold values, and to evaluate the quality of a solution, correlation function is used. Experimental results have been examined on standard set of satellite images using various numbers of thresholds. The results based on Kapur's entropy reveal that CS, ELR-CS and WDO method can be accurately and efficiently used in multilevel thresholding problem. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Image segmentation Multilevel thresholding Kapur's entropy cuckoo search algorithm Wind driven optimization Particle swarm optimization Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm for non-convex economic dispatch

引用

IET GENERATION TRANSMISSION & DISTRIBUTION 2013年第6期7卷 645-654页

作者： Vo, Dieu N. Schegner, Peter Ongsakul, Weerakorn Ho Chi Minh City Univ Technol Dept Power Syst Ho Chi Minh City Vietnam Tech Univ Dresden Inst Elect Power Syst & High Voltage Engn D-01069 Dresden Germany Asian Inst Technol Energy Field Study Sch Environm Resources & Dev Pathum Thani 12120 Thailand

This study proposes a cuckoo search algorithm (CSA) for solving non-convex economic dispatch (ED) considering generator and system characteristics including valve-point effects, multiple fuels, prohibited zones, spinning reserve and power loss. CSA is a new meta-heuristic optimisation method inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. When the host birds discover an alien egg in their nest, they can either throw it away or simply abandon their nest and build a new one elsewhere. The CSA idealised such breeding behaviour in combination with Levy flights behaviour of some birds and fruit flies for applying to various constrained optimisation problems. The effectiveness of the proposed method has been tested on different non-convex ED problems. Test results have indicated that the proposed method can obtain less expensive solutions than many other methods reported in the literature. Accordingly, the proposed CSA is a promising method for solving the practical nonconvex ED problems.

关键词： concave programming constraint handling heuristic programming power generation dispatch power generation economics search problems cuckoo search algorithm nonconvex economic dispatch CSA ED generator dispatch valve-point effect multiple fuel prohibited zone spinning reserve power loss metaheuristic optimisation method obligate brood parasitism cuckoo species host bird alien egg Lévy flight breeding behaviour constrained optimisation problem

来源：评论

学校读者我要写书评

暂无评论

Evaluation of cuckoo search MPPT algorithm for Solar Photovoltaic Inverter Applications 1

Evaluation of Cuckoo Search MPPT Algorithm for Solar Photovo...

引用

1st International Conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Joddumahanthi, Vijaychandra Gopal, Yatindra Pakalapati, Janaki Kakinada, Veda Prakash Potnuru, Varshitha Rajesh, V.D.K.S.R. Lendi Institute of Engineering and Technology Department of Electrical and Electronics Engineering AP Vizianagaram India

ISBN: (纸本)9798331520540

As the demand for renewable energy sources continues to grow, optimizing the efficiency of solar photovoltaic (PV) systems becomes increasingly important. This study illustrates a solar PV system that determines maximum power point tracking (MPPT) in solar inverter applications adopting a cuckoo search algorithm (CSA). The CSA provides a distinctive approach for determining the maximum power under various scenarios and is modeled after the brood parasitism of some cuckoo species. This study examines the algorithm's performance in real-time tracking of maximum power output, analyzing its responsiveness to change in irradiance and temperature. Simulation results using MATLAB demonstrate that the CSA achieves greater efficiency and faster convergence compared to traditional MPPT methods. © 2025 IEEE.

关键词： cuckoo search algorithm MPPT rectifier solar PV system step-up converter

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm-based brightness preserving histogram scheme for low-contrast image enhancement

引用

SOFT COMPUTING 2020年第3期24卷 1619-1645页

作者： Bhandari, Ashish Kumar Maurya, Shubham Natl Inst Technol Patna Dept Elect & Commun Engn Patna 800005 Bihar India

This paper introduces a novel optimized brightness preserving histogram equalization approach to preserve the mean brightness and to improve the contrast of low-contrast image using cuckoo search algorithm. Traditional histogram equalization scheme induces extreme enhancement and brightness change ensuing abnormal appearance. The proposed method utilizes plateau limits to modify histogram of the image. In this method, histogram is divided into two sub-histograms on which histogram statistics are exploited to obtain the plateau limits. The sub-histograms are equalized and modified based on the calculated plateau limits obtained by cuckoo search optimization technique. To demonstrate the effectiveness of proposed method a comparison of the proposed method with different histogram processing techniques is presented. Proposed method outperforms other state-of-art methods in terms of the objective as well as subjective quality evaluation.

关键词： cuckoo search algorithm Histogram equalization Low-contrast satellite images Optimized Plateau limit and brightness preservation

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm for Emission Reliable Economic Multi-objective Dispatch Problem

引用

IETE JOURNAL OF REsearch 2014年第2期60卷 128-138页

作者： Chandrasekaran, K. Simon, Sishaj P. Padhy, Narayana Prasad Natl Inst Technol Puducherry Dept Elect & Elect Engn Karaikal India Natl Inst Technol Dept Elect & Elect Engn Tiruchirappalli Tamil Nadu India Indian Inst Technol Dept Elect & Elect Engn Roorkee Uttar Pradesh India

This paper presents a novel emission/reliable/economic dispatch (ERED) problem using a newly developed multi-objective cuckoo search algorithm (CSA). Traditionally, electric power systems are operated in such a way that the total fuel cost is minimized regardless of the emission and reliability level of the system. Recently, the restructured power system stresses the need for non-polluting, reliable, and economic operation. Hence, three conflicting objective functions such as emission, reliability, and fuel cost functions are considered in the practical economic dispatch (ED) problem. The ERED problem is formulated as a non-smooth and non-convex multi-objective ED problem incorporating valve-point effects of thermal units. The CSA utilizes the breeding behaviour of cuckoos, where each individual searches the most suitable nest to lay an egg (compromise solution) in order to maximize the egg's survival rate and achieve the best habitat society. The fuzzy set theory is used to find a best compromise solution from the Pareto-optimal set. The effectiveness of the proposed methodology is tested on a benchmark of 6-unit test system, IEEE RTS 24 bus system, and IEEE 118 bus system. The results are validated and compared with the solution available in the existing literature.

关键词： cuckoo search algorithm Fuzzy set theory Environmental/reliable/economic dispatch problem Multi-objective economic dispatch problem

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm for short-term hydrothermal scheduling

引用

APPLIED ENERGY 2014年 132卷 276-287页

作者： Thang Trung Nguyen Dieu Ngoc Vo Anh Viet Truong Ton Duc Thang Univ Fac Elect & Elect Engn Ho Chi Minh City Vietnam Ho Chi Minh City Univ Technol Dept Power Syst Ho Chi Minh City Vietnam Univ Tech Educ Ho Chi Minh City Fac Elect & Elect Engn Ho Chi Minh City Vietnam

This paper proposes a cuckoo search algorithm (CSA) for solving short-term fixed-head hydrothermal scheduling (HTS) problem considering power losses in transmission systems and valve point loading effects in fuel cost function of thermal units. The CSA method is a new meta-heuristic algorithm inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species for solving optimization problems. The advantages of the CSA method are few control parameters and effective for optimization problems with complicated constraints. The effectiveness of the proposed CSA has been tested on different hydrothermal systems and the obtained test results have been compared to those from other methods in the literature. The result comparison has shown that the CSA can obtain higher quality solutions than many other methods. Therefore, the proposed CSA can be an efficient method for solving short-term fixed head hydrothermal scheduling problems. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： cuckoo search algorithm Short-term hydrothermal scheduling Convex fuel cost function Nonconvex fuel cost function Levy flights

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2017年 62卷 134-151页

作者： Hamza, Mukhtar Fatihu Yap, Hwa Jen Choudhury, Imtiaz Ahmed Univ Malaya Dept Mech Engn Kuala Lumpur 50603 Malaysia Bayero Univ Dept Mechatron Engn Kano 3011 Nigeria

The Interval Type-2 Fuzzy Logic Controller (IT2FLC) is an advanced version of Type-1 Fuzzy Logic Controller (T1FLC) that improves the control strategies by using the advantage of its footprint of uncertainty of the Fuzzy Membership Function (MF). Numerous experimental investigations have shown the superiority of IT2FLC over T1FLC, particularly in high level of uncertainties and nonlinearities. Nevertheless, the systematic design of IT2FLCs remains an attractive problem because of the difficulty in finding the parameters associated with IT2FLCs. In this study, a novel application of cuckoo search (CS) algorithm in the design of an optimized cascade Interval Type-2 Fuzzy Proportional Integral Derivative Controller (IT2FPIDC) is presented. The PID gains and the parameters of the antecedent MFs of IT2FPIDC are optimized using CS algorithm. Considering the higher number of parameters to be optimized in cascade IT2FPIDC, the CS method was employed due to its high convergence speed and less computational cost. The proposed CS based cascade optimized IT2FPIDC is compared with CS-based Type-1 Fuzzy Proportional Integral Derivative Controller (T1FPIDC). The present research presents a new application of proposed CS based cascade optimized IT2FPIDC for the balancing control and trajectory tracking control of the Furuta pendulum (FP) which is a nonlinear, non-minimum phase and unstable system. Furthermore, the disturbance rejection ability of the proposed controller is analyzed. The proposed control strategies are evaluated on FP produced by Quanser through numerous experimentations in the real world as well as simulation. The performance characteristic considered for these controllers are settling time (t(s)), steady state error (E-ss), rise time (t(r)) and maximum overshoot (M-p). Both the simulation and real world experiments results demonstrated the robustness and effectiveness of the proposed CS based IT2FPIDC with respect to parameter variation, noise effects and load dis

关键词： Fuzzy logic controller Furuta pendulum cuckoo search algorithm PID

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm for combined heat and power economic dispatch

引用

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 81卷 204-214页

作者： Thang Trung Nguyen Dieu Ngoc Vo Bach Hoang Dinh Ton Duc Thang Univ Fac Elect & Elect Engn Power Syst Optimizat Res Grp Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Elect & Elect Engn 19 Nguyen Huu Tho StTan Phong WardDist 7 Ho Chi Minh City Vietnam

This paper proposes a cuckoo search algorithm (CSA) for solving for the combined heat and power economic dispatch (CHPED) problem considering valve point loading effects on fuel cost function of pure power generation units and electrical power losses in transmission systems. The main objective of the CHPED problem is to minimize the total fuel cost for producing electricity and heat supplying to a load demand. The proposed CSA method inspired from the reproduction behavior of cuckoo birds has attracted many researchers implementing to engineering optimization problems since it has showed several advantages of few control parameters, high solution quality and fast computational time. The effectiveness and robustness of the proposed CSA have been validated on five different systems including three systems with quadratic fuel cost function of pure power units neglecting transmission losses and two systems with nonconvex fuel cost function of pure power units. The result comparisons between the CSA method and other methods for the test systems have revealed that the CSA method can obtain higher quality solution with faster computational time than many other methods. Therefore, the proposed CSA method can be a very efficient method for solving the CHPED problem. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： cuckoo search algorithm Combined heat and power economic dispatch Pure power units Cogeneration units Pure heat units Nonconvex fuel cost function

来源：评论

学校读者我要写书评

暂无评论

cuckoo search algorithm with onlooker bee search for modeling PEMFCs using T2FNN

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2019年 85卷 740-753页

作者： Zhu, Xiaohua Wang, Ning Minnan Normal Univ Coll Phys & Informat Engn Zhangzhou 363000 Fujian Peoples R China Zhejiang Univ Inst Cyber Syst & Control State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

The accurate mathematical model plays an important role in the simulation and analysis of proton exchange membrane fuel cells (PEMFCs). This paper proposes the nonlinear modeling approach using type-2 fuzzy neural network (T2FNN) for PEMFCs. For the optimal tuning of the T2FNN, a novel cuckoo search algorithm, the cuckoo search algorithm with onlooker bee search (ObCS) is proposed. In ObCS, the opposition based learning strategy is used to make the initial population distribution more uniform. A modified local search strategy on onlooker bee search is designed to improve the local search ability. Numerical experiments with two groups of test functions show that the ObCS has a higher quality of solutions in comparison with the basic CS, the two improved CSs, and the other state-of-the-art optimization algorithms. Finally, the ObCS is applied to optimize the parameters of the T2FNN for modeling a PEMFC. The experimental results demonstrate that the ObCS and RLS based T2FNN is a more efficient technique by comparing with the CS and RLS based T2FNN.

关键词： Type-2 fuzzy neural network (T2FNN) cuckoo search algorithm Onlooker bee search Opposition based learning Proton exchange membrane fuel cells (PEMFCs)

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：