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A novel cuckoo search algorithm with adaptive discovery probability based on double Mersenne numbers

NEURAL COMPUTING & APPLICATIONS 2021年第23期33卷 16377-16402页

作者： Reda, Mohamed Elhosseini, Mostafa Haikal, Amira Badawy, Mahmoud Mansoura Univ Fac Engn Comp & Control Syst Engn Dept Mansoura Egypt Taibah Univ Coll Comp Sci & Engn Yanbu Medina Saudi Arabia Taibah Univ Comp Sci & Informat Dept Medina Saudi Arabia

cuckoo search algorithm is one of the most prominent meta-heuristic optimization algorithms which is applied to various applications. The discovery probability is the one and the only tuning parameter of the cuckoo search algorithm. The physical meaning of this parameter contradicts its implementation in the standard algorithm. Therefore, this study concerns the correction to the definition and implementation of the cuckoo search algorithm to resolve this conflict. Moreover, a novel algorithm called double exponential cuckoo search is proposed, in which the discovery probability became adaptive based on the concept of the double Mersenne numbers. The proposed algorithm is compared to nine other variants to find the best variant that makes the discovery probability adaptive. All the variants are compared and tested on 30 and 50 dimensions of CEC2017 benchmark functions. The results have been statistically proved using the sign test, Wilcoxon signed-rank test, and Friedman test. Moreover, multiple graphical methods are also used to visualize the median performance such as Violin plots and mean convergence graphs. Simulation results prove the superior performance of the proposed algorithm over all other variants.

关键词： CEC2017 benchmark functions cuckoo search algorithm Double Mersenne numbers Double exponential cuckoo search Meta-heuristic optimization Probability of discovery

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A Novel Adaptive cuckoo search algorithm for Contrast Enhancement of Satellite Images

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2017年第8期10卷 3665-3676页

作者： Suresh, Shilpa Lal, Shyam Reddy, Chintala Sudhakar Kiran, Mustafa Servet Natl Inst Technol Karnataka Dept Elect & Commun Engn Surathkal 575025 India Indian Space Res Org Forestry & Ecol Grp Natl Remote Sensing Ctr Hyderabad 500037 Andhra Pradesh India Selcuk Univ Dept Comp Engn TR-42250 Konya Turkey

Owing to the increased demand for satellite images for various practical applications, the use of proper enhancement methods are inevitable. Visual enhancement of such images mainly focuses on improving the contrast of the scene procured, conserving its naturalness with minimum image artifacts. Last one decade traced an extensive use of metaheuristic approaches for automatic image enhancement processes. In this paper, a robust and novel adaptive cuckoo search based Enhancement algorithm is proposed for the enhancement of various satellite images. The proposed algorithm includes a chaotic initialization phase, an adaptive Levy flight strategy and a mutative randomization phase. Performance evaluation is done by quantitative and qualitative results comparison of the proposed algorithm with other state-of-the-art metaheuristic algorithms. Box-and-whisker plots are also included for evaluating the stability and convergence capability of all the algorithms tested. Test results substantiate the efficiency and robustness of the proposed algorithm in enhancing a wide range of satellite images.

关键词： Contrast enhancement cuckoo search algorithm metaheuristics satellite images

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Identification of transient boundary conditions with improved cuckoo search algorithm and polynomial approximation

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ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS 2018年 95卷 124-141页

作者： Chen, Hao-long Yu, Bo Zhou, Huan-lin Meng, Zeng Hefei Univ Technol Sch Civil Engn Hefei 230009 Anhui Peoples R China

The cuckoo search (CS) algorithm combined with Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm (CS-BFGS) is proposed to identify time-dependent boundary conditions for 2-D transient heat conduction problems in functionally gradient materials. Firstly the dual reciprocity boundary element method (DRBEM) is used to solve the direct problem. Then taking the unknown boundary conditions as a polynomial function of coordinates with time-dependent coefficients, the CS-BFGS is applied to obtain the unknown coefficients of the polynomial. As a result, the transient boundary conditions are evaluated. The convergence speed of the CS-BFGS algorithm is faster than the CS algorithm. What's more, the effect of the polynomial degree is discussed. As the polynomial degree increases, the inverse results are more accurate but the iterative number and computation time also increase. Finally, the influences of the position and number of measurement points, and random errors on the inverse results are investigated. With the measurement points closer to the boundary, with the increase of measurement point number and with the decrease of measurement errors, the results are more accurate.

关键词： Boundary conditions Inverse problems DRBEM cuckoo search algorithm Broyden-Fletcher-Goldfarb-Shanno algorithm Polynomial approximation

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A novel framework-based cuckoo search algorithm for sizing and optimization of grid-independent hybrid renewable energy systems

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INTERNATIONAL JOURNAL OF GREEN ENERGY 2019年第1期16卷 86-100页

作者： Mohamed, Mohamed A. Eltamaly, Ali M. Alolah, Abdulrahman I. Hatata, A. Y. Menia Univ Elect Engn Dept Al Minya 61519 Egypt King Saud Univ Elect Engn Dept Riyadh Saudi Arabia King Saud Univ Sustainable Energy Technol Ctr Riyadh Saudi Arabia Mansoura Univ Elect Engn Dept Mansoura Egypt

Hybrid renewable energy systems (HRES) turned into an appealing choice for supplying loads in remote areas. The application of smart grid principals in HRES provides a communication between the load and generation from the HRES. Using smart grid in the HRES will optimally utilize the generating resources to reschedule the loads depending on its importance. This paper presents a new proposed design and optimization simulation program for techno-economic sizing of grid-independent hybrid PV/wind/diesel/battery energy system using cuckoo search (CS) optimization algorithm. Using of CS will help to get the global minimum cost condition and prevent the simulation to be stuck around local minimum. A new proposed simulation program (NPSP) is acquainted using CS to determine the optimum size of each component of the HRES for the lowest cost of generated energy and the lowest value of dummy energy, at highest reliability. A detailed economic methodology to obtain the price of the generated energy has been introduced. Results showed that using CS reduced the time required to obtain the optimal size with higher accuracy than other techniques used iterative techniques, Genetic algorithm (GA), and Particle Swarm Optimization (PSO). Numerous significant outcomes can be extracted from the proposed program that could help scientists and decision makers.

关键词： Hybrid renewable energy systems smart grid cuckoo search algorithm economic sizing energy cost

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An improved cuckoo search algorithm for power economic load dispatch

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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2015年第6期25卷 958-975页

作者： Afzalan, Ehsan Joorabian, Mahmood Shahid Chamran Univ Ahvaz Dept Elect Engn Ahvaz Iran

The cuckoo search (CS) algorithm is a simple and effective global optimization algorithm. It has been successfully applied to solve a wide range of real- world optimization problem. In this paper, a modified CS algorithm is applied to determine the feasible optimal solution of the economic load dispatch problem considering various generator constraints. In order to solve the problem of being trapped into the local optima, a new mutation scheme, inspired by the DE/current-to-gr_best/1, is incorporated in standard CS to enrich the searching behavior and solution quality and to avoid being trapped into local optimum. In order to verify the performance of our approach, the proposed approach is tested with two power system cases consisting of 3, 6, 15, and 40 thermal units with generator constraints. State-of-the-art optimization techniques are compared with simulation results obtaining proposed method to illustrate the efficiency of the proposed method and to show that the improved CS could be used as a reliable tool for solving economic load dispatch problems with generator constraints. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： cuckoo search algorithm economic load dispatch improved algorithm exploration exploitation

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Structural damage identification based on cuckoo search algorithm

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ADVANCES IN STRUCTURAL ENGINEERING 2016年第5期19卷 849-859页

作者： Xu, H. J. Liu, J. K. Lu, Z. R. Sun Yat Sen Univ Dept Appl Mech Guangzhou 510006 Guangdong Peoples R China

A method for structural damage identification based on cuckoo search algorithm is presented. The nonlinear objective function for the damage identification problem is established by utilizing modal assurance criteria and structural natural frequencies. Then, the cuckoo search algorithm is adopted to detect local damages by solving the objective function. Two numerical examples are studied to investigate the efficiency and correctness of the proposed method. Meanwhile, a laboratory work is conducted for further verification. The simulation and experiment results show that the present method can produce more accurate damage identification results even under measurement noise, comparing with genetic algorithm.

关键词： cuckoo search algorithm damage detection frequency domain global optimization modal assurance criteria

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Optimized coordinated control of frequency and voltage for distributed generating system using cuckoo search algorithm

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AIN SHAMS ENGINEERING JOURNAL 2018年第4期9卷 1855-1864页

作者： Mehta, Pankita Bhatt, Praghnesh Pandya, Vivek CHARUSAT Dept Elect Engn CS Patel Inst Technol Changa Gujarat India PDPU Dept Elect Engn Sch Technol Gandhinagar Gujarat India

The distributed generating system may employ hybrid power system consists of diesel and wind power generating units based on synchronous and induction generator (IG), respectively, to supply small isolated load. Frequency and voltage controls are major problems for such system as smaller synchronous generator (SG) offers lesser inertia and IG draws reactive power for its operation. In this paper, the voltage control loop governed by automatic voltage regulator of SG has been integrated with frequency control loop to yield optimized transient responses for frequency and voltage deviations. The linearized model of hybrid system with coordinated control of voltage and frequency has been developed. The dynamic responses of frequency and voltage deviations are compared for different active and reactive load disturbances. The gains of controller of SG and Static Var Compensator (SVC) at the terminal of IG have been optimized with cuckoo search algorithm to minimize frequency and terminal voltage deviations. (C) 2017 Ain Shams University.

关键词： Automatic Voltage Regulator cuckoo search algorithm Distributed Generation Load Frequency Control SVC

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An Improved cuckoo search algorithm of Boundary search and Variable Step-Size for Gravitational Reference Sensor Parameters Identification

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IEEE ACCESS 2021年 9卷 91850-91858页

作者： Li, Dequan Liu, Hongda Wang, Dong Wang, Zhi Sun, Xingguo Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys Space Opt Dept Changchun 130033 Jilin Peoples R China Univ Chinese Acad Sci Coll DaHeng Beijing 100049 Peoples R China FAW Volkswagen Automobile Co Ltd Changchun 130011 Peoples R China

At this stage, in order to ensure the effective work of the gravitational reference sensor, it's necessary to ensure the residual velocity of the test mass (mass = 1.9 kg) after being released by the grabbing positioning and release mechanism is less than 5 mu m/s, so that it can be normally captured by the electrode housing. Therefore, based on mathematical model of the release mechanism electro-mechanical dynamics, this paper conducts related research on the relationship between the residual speed of the test mass and the system parameters of the grabbing positioning and release mechanism. In order to solve the problem of difficulty in identifying model parameters, this paper uses the cuckoo search algorithm to identify model parameters, and improves the search efficiency and success rate by improving the step-length control factor and search strategy. Simulation experiments show that under the same number of iterations, the improved algorithm has achieved an effective improvement in the identification success rate and convergence accuracy of the original algorithm. Through the identification results, the residual speed of the test mass can be derived, verify whether the designed system meets the requirements, and establish an evaluation and guidance system for the system design.

关键词： Gravitational reference sensor grabbing positioning and release mechanism residual velocity cuckoo search algorithm parameter identification

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ECTMRA: Energy Conserving Trustworthy Multipath Routing algorithm Based on cuckoo search algorithm

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WIRELESS PERSONAL COMMUNICATIONS 2017年第4期94卷 2239-2258页

作者： Senthil, T. Kannapiran, B. Kalasalingam Univ Elect & Commun Engn Dept Krishnankoil Tamil Nadu India Kalasalingam Univ Dept Instrumentat & Control Engn Krishnankoil Tamil Nadu India

Lifetime maximization is one of the serious research issues for energy constrained wireless sensor networks. There are several ways to achieve enhanced network lifespan. This paper presents a routing algorithm namely Energy Conserving Trustworthy Multipath Routing algorithm (ECTMRA) based on cuckoo search algorithm, which serves its purpose by overthrowing issues such as routing overhead, memory overhead, along with the increased energy conservation is presented. This work clubs three different techniques such as clustering based on cuckoo search algorithm, trust and multipath routing techniques into a single approach. This maximizes the lifespan of the network with the least energy consumption. Besides this, ECTMRA shows improved packet delivery ratio, network lifespan and reduced end-to-end delay, routing overhead and energy consumption. The performance of the proposed algorithm is evaluated against existing approaches and the experimental results outperform the existing techniques.

关键词： Wireless sensor networks Network lifetime Soft computing cuckoo search algorithm Trust Routing

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Enhanced cuckoo search algorithm for industrial winding process modeling

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JOURNAL OF INTELLIGENT MANUFACTURING 2023年第4期34卷 1911-1940页

作者： Braik, Malik Sheta, Alaa Al-Hiary, Heba Aljahdali, Sultan Al Balqa Appl Univ Al Salt Jordan Southern Connecticut State Univ 501 Crescent St New Haven CT 06515 USA Taif Univ At Taif Saudi Arabia

Modeling of nonlinear industrial systems embraces two key stages: selection of a model structure with a compact parameter list, and selection of an algorithm to estimate the parameter list values. Thus, there is a need to develop a sufficiently adequate model to characterize the behavior of industrial systems to represent experimental data sets. The data collected for many industrial systems may be subject to the existence of high non-linearity and multiple constraints. Meanwhile, creating a thoroughgoing model for an industrial process is essential for model-based control systems. In this work, we explore the use of a proposed Enhanced version of the cuckoo search (ECS) algorithm to address a parameter estimation problem for both linear and nonlinear model structures of a real winding process. The performance of the developed models was compared with other mainstream meta-heuristics when they were targeted to model the same process. Moreover, these models were compared with other models developed based on some conventional modeling methods. Several evaluation tests were performed to judge the efficiency of the developed models based on ECS, which showed superior performance in both training and testing cases over that achieved by other modeling methods.

关键词： cuckoo search algorithm Industrial winding process Nonlinear model Linear model

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