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Optimal Power System Stabilizers design via cuckoo search algorithm

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 75卷 99-107页

作者： Abd Elazim, S. M. Ali, E. S. Zagazig Univ Fac Engn Elect Power & Machine Dept Zagazig 44519 Egypt

cuckoo search (CS) algorithm is introduced in this paper for optimal Power System Stabilizers (PSSs) design in a multimachine power system. The PSSs parameter tuning problem is formulated as an optimization problem which is solved by CS algorithm. An eigenvalues based objective function involving the damping ratio, and the damping factor of the lightly damped electromechanical modes is considered for the PSSs design problem. The performance of the proposed CS based PSSs (CSPSS) has been compared with Genetic algorithm (GA) based PSSs (GAPSS) and the Conventional PSSs (CPSS) under different operating conditions and disturbances. The results of the developed CSPSS are verified through time domain analysis, eigenvalues and performance indices. Also, the effectiveness of the proposed algorithm in providing good damping characteristics is confirmed. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： cuckoo search algorithm Genetic algorithm Power System Stabilizers Multimachine system Power system stability D shape

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A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times

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COMPUTERS & INDUSTRIAL ENGINEERING 2018年 124卷 65-76页

作者： Majumder, Arindam Laha, Dipak Suganthan, P. N. Jadavpur Univ Dept Mech Engn Kolkata India Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

This paper deals with the problem of scheduling identical parallel batch processing machines. In this scheduling system, each machine processes a set of jobs in a batch simultaneously and each job in the batch is characterized by its processing time, ready time and job size. We propose a hybrid discrete cuckoo search (HDCS) algorithm to minimize makespan for this scheduling problem. The HDCS is constructed, based on a modified variable neighborhood search and cuckoo search algorithm. In the proposed algorithm, we present a modified Levy flight in the cuckoo search to transform a continuous position in the HDCS into a discrete schedule for generating a new solution. The process parameters of the proposed HDCS are tuned by implementing the desirability-based Taguchi method to optimize both solution quality and run time. The results of exhaustive computational experimentation on a large number of randomly generated sparse as well as non-sparse problem instances show that the proposed algorithm is more effective and efficient than the state-of-the-art algorithms.

关键词： Scheduling Parallel batch processing machines Makespan cuckoo search algorithm Variable neighborhood search Optimization

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Characterization modeling of wake vortex circulation decay under reasonable worst case conditions with cuckoo search algorithm

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2024年第5期238卷 455-472页

作者： Oruc, Ridvan Baklacioglu, Tolga Sahin, Ozlem Agri Ibrahim Cecen Univ Civil Aviat Vocat Sch Agri Turkiye Eskisehir Tech Univ Fac Aeronaut & Astronaut 2 Eylul Kampusu Havacil & Uzay Bil Fak TR-26555 Eskisehir Turkiye Turkish Aerosp Ind TUSAS Aircraft Performance Dept TAI Ankara Turkiye

Wake vortex (WV) produced by a large aircraft has the potential to cause serious damage to smaller aircraft following it. In this context, characterization of WV circulation decay under the reasonable worst case (RWC) conditions allows the separation minima to be found safely. In this study, modeling of dimensionless decay curves, which were developed using three experimental LIDAR (Light Detection and Ranging) datasets in the RECAT-EU project and is a useful tool to characterize the wake vortex circulation decay under RWC conditions, was carried out using cuckoo search algorithm (CSA). The decay curves used in the modeling are the median (P50), 10th (P10), and 90th (P90) percentile decay curves of the RWC tracks, which constitute the top 2% longest lasting wakes. The fact that the correlation coefficient (R) values are very close to 1 for all datasets as a result of the error analysis shows that the prediction success of the CSA model is quite high.

关键词： Aircraft wake vortex turbulence cuckoo search algorithm optimization

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Hybridising cuckoo search algorithm for extracting the ODF maxima in spherical harmonic representation

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2019年第3期14卷 190-199页

作者： Shehab, Mohammad Daoud, Mohammad Sh AlMimi, Hani Mahmouad Abualigah, Laith Mohammad Khader, Ahamad Tajudin Aqaba Univ Technol Comp Sci Dept Aqaba 77110 Jordan Al Ain Univ Sci & Technol Fac Engn Abu Dhabi U Arab Emirates Al Zaytoonah Univ Jordan Fac Sci & Informat Technol Amman Jordan Amman Arab Univ Fac Comp Sci & Informat Amman Jordan Univ Sains Malaysia Sch Comp Sci George Town Malaysia

The diffusion-weighted magnetic resonance imaging (DW-MRI) is a promising method for non-invasive investigation of anatomical connectivity in the human brain. Q-ball imaging (QBI) is a diffusion MRI reconstruction technique which has been proven very successful in resolving multiple intravoxel fibre orientations in MRI (i.e., fibre crossing) based on the standard computation of the orientation distribution function (ODF), which is a 3-dimension spherical function founded to detect the dominant fibre orientations in the underlying volume of a pixel (voxel). However, ODF still has a limitation in determining fibre directions which may be corrupted by neighbour directions. In this paper, we proposed a new method to solve the ODF problem by adapting the hybridisation of the cuckoo search algorithm (i.e., global search) and bat algorithm (i.e., local search), namely, CSBA. The performance of the method is demonstrated by experiments in both synthetic and real data.

关键词： diffusion magnetic resonance imaging MRI orientation distribution function ODF cuckoo search algorithm CSA bat algorithm optimisation

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Quantum inspired cuckoo search algorithm for graph colouring problem

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2015年第3期7卷 183-194页

作者： Djelloul, Halima Layeb, Abdesslem Chikhi, Salim Univ Constantine II Dept Informat & Applicat MISC Lab Ali Mendjeli City 25000 Constantine Algeria

The graph colouring problem (GCP) is one of the most interesting, studied and difficult combinatorial optimisation problems. That is why, several approaches were developed for solving this problem, including exact approaches, heuristic approaches, metaheuristics and hybrid approaches. In this paper, we try to solve the graph colouring problem using a new approach based on the quantum inspired cuckoo search algorithm. The first contribution consists in defining an appropriate quantum representation based on qubit representation to represent the graph colouring solutions. The second contribution is the proposition of a novel measure operator based on the adjacency matrix. The third contribution involves the proposition of an adapted hybrid quantum mutation operation. To show the feasibility and the effectiveness of the algorithm, we have used the standard DIMACS benchmark, and the obtained results are very encouraging.

关键词： graph colouring problem GCP cuckoo search algorithm quantum computing heuristics hybrid algorithms

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Online Droop Tuning of a Multi-DG Microgrid Using cuckoo search algorithm

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2015年第14期43卷 1583-1595页

作者： Raghami, Alireza Ameli, Mohammad Taghi Hamzeh, Mohsen Queensland Univ Technol Elect Engn & Comp Sci Sch Fac Sci & Engn Brisbane Qld 4000 Australia Shahid Beheshti Univ Dept Elect & Comp Engn Tehran Iran

This article presents an intelligent strategy to achieve appropriate real power sharing among distributed generators in a microgrid. The presented strategy employs two droop-based control methods and automatically adjusts their parameters. The first method is unit power control, which has specifications similar to the conventional droop method, and the second is feeder flow control, showing significant characteristics in both grid-connected and islanded modes operation of a microgrid. A combination of unit power control and feeder flow control methods is used for a multi-distributed generator microgrid. The microgrid operation mode passes from the grid-connected to the islanded through a transition. A new evolutionary algorithm called cuckoo search is employed to coordinate the power management of distributed generators within an on-line droop tuning. In comparison to the predecessor evolutionary algorithms, the cuckoo search algorithm represents more effective random processes with fewer parameters. Using the proposed control strategy, while the distributed generators contribute to load demand provision based on their rated powers, their powers are optimized in terms of overshoot and settling time. Digital time-domain simulation studies are carried out in the MATLAB/SIMULINK (The MathWorks, Natick, Massachusetts, USA) environment to verify the performance of the proposed control system.

关键词： microgrid dispatchable distributed generator real power control feeder flow control intelligent droop strategy cuckoo search algorithm

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Optimum design of multi-span composite box girder bridges using cuckoo search algorithm

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STEEL AND COMPOSITE STRUCTURES 2014年第5期17卷 703-717页

作者： Kaveh, A. Bakhshpoori, T. Barkhori, M. Iran Univ Sci & Technol Ctr Excellence Fundamental Studies Struct Engn Tehran 16 Iran

Composite steel-concrete box girders are frequently used in bridge construction for their economic and structural advantages. An integrated metaheuristic based optimization procedure is proposed for discrete size optimization of straight multi-span steel box girders with the objective of minimizing the self-weight of girder. The metaheuristic algorithm of choice is the cuckoo search (CS) algorithm. The optimum design of a box girder is characterized by geometry, serviceability and ultimate limit states specified by the American Association of State Highway and Transportation Officials (AASHTO). Size optimization of a practical design example investigates the efficiency of this optimization approach and leads to around 15% of saving in material.

关键词： composite box girder size-optimization optimal design cuckoo search algorithm

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A new fuzzy optimal allocation of detuned passive filters based on a Nonhomogeneous cuckoo search algorithm considering resonance constraint

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ISA TRANSACTIONS 2019年 89卷 186-197页

作者： Ayoubi, Masoud Hooshmand, Rahmat-Allah Univ Isfahan Dept Elect Engn Esfahan Iran

Passive filters are used as one of the effective solutions to mitigate harmonics and improve power quality in electrical networks. In this paper, a new fuzzy approach is proposed for the allocation of detuned passive filters based on a Nonhomogeneous cuckoo search algorithm (NoCuSa). In this method, a resonance index is inserted in the problem formulation to avoid being in a resonance condition after the allocation of passive filters. In this regard, the candidate locations for the installation of passive filters are first selected based on a sensitivity analysis. Then, the values and tuning orders of the passive filters are optimized by using the proposed algorithm for single- and multi-load levels while applying fixed and switched passive filters. In the simulations, different scenarios for optimal allocation of passive filters are investigated and compared with optimal allocation of capacitors. Finally, the fuzzy problem model is implemented on an IEEE 69-bus network by NoCuSa and compared with different optimization algorithms. The results demonstrate an improvement in the final annual net benefit by applying NoCuSa in comparison with other algorithms. In addition, another comparison made between the proposed method and those implemented on IEEE 69-bus system shows the efficiency of the proposed method. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Passive filters placement Harmonics Resonance Fuzzification cuckoo search algorithm

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A study of changes in temperature profile of porous fin model using cuckoo search algorithm

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ALEXANDRIA ENGINEERING JOURNAL 2020年第1期59卷 11-24页

作者： Waseem, Waseem Sulaiman, Muhammad Islam, Saeed Kumam, Poom Nawaz, Rashid Raja, Muhammad Asif Zahoor Farooq, Muhammad Shoaib, Muhammad Abdul Wali Khan Univ Mardan Dept Math Mardan KP Pakistan KMUTT Fac Sci Dept Math 126 Pracha Uthit Rd Bangkok 10140 Thailand KMUTT Fac Sci 126 Pracha Uthit Rd Bangkok 10140 Thailand China Med Univ China Med Univ Hosp Dept Med Res Taichung 40402 Taiwan COMSATS Univ Islamabad Dept Elect Engn Attock Campus Attock Pakistan COMSATS Univ Islamabad Dept Math Attock Campus Attock Pakistan

For analysis of physical properties of different materials, rectangular porous fins are used to examine the heat transformation through a system. In this paper, a metaheuristic is combined with neural computing modelling to study the effects of temperature changes in a porous fin model. cuckoo search algorithm is used as an efficient optimization technique to find the best weights to reduce the mean squared error in the required temperature profile. The governing partial differential equation is converted into a non-linear ordinary differential equation subject to certain boundary conditions. Two individual cases, of silicon nitride (Si3N4) and Aluminium (Al), are considered. In the proposed procedure, the cuckoo search(CS) algorithm is combined with the artificial neural network (ANN), namely CS-ANN, to solve the differential equations and obtain solutions with better accuracy. (C) 2019 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V.

关键词： Heat distribution Porous fin Artificial intelligence Metaheuristics cuckoo search algorithm Differential equations Optimization problems

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A cuckoo search algorithm by Levy flights for solving reliability redundancy allocation problems

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ENGINEERING OPTIMIZATION 2013年第11期45卷 1273-1286页

作者： Valian, Ehsan Valian, Elham Islamic Azad Univ Kermanshah Branch Dept Math Tehran Iran

A new metaheuristic optimization algorithm, called cuckoo search (CS), was recently developed by Yang and Deb (2009, 2010). This article uses CS and Levy flights to solve the reliability redundancy allocation problem. The redundancy allocation problem involves setting reliability objectives for components or subsystems in order to meet the resource consumption constraint, e.g. the total cost. The difficulties facing the redundancy allocation problem are to maintain feasibility with respect to three nonlinear constraints, namely, cost, weight and volume-related constraints. The redundancy allocation problems have been studied in the literature for decades, usually using mathematical programming or metaheuristic optimization algorithms. The performance of the algorithm is tested on five well-known reliability redundancy allocation problems and is compared with several well-known methods. Simulation results demonstrate that the optimal solutions obtained by CS are better than the best solutions obtained by other methods.

关键词： cuckoo search algorithm Levy flight reliability redundancy allocation problem

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