Relevant bibliographies by topics / Improved leap-frog method

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Academic literature on the topic 'Improved leap-frog method'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Improved leap-frog method"

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Izudin, Dzafic, and A. Jabr Rabih. "Improved Leap-frog Method for Time-domain Fault Location." Journal of Modern Power Systems and Clean Energy 12, no. 2 (2024): 670–74. http://dx.doi.org/10.35833/mpce.2023.000175.

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Feng, Yanhong, Gai-Ge Wang, Qingjiang Feng, and Xiang-Jun Zhao. "An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems." Computational Intelligence and Neuroscience 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/857254.

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An effective hybrid cuckoo search algorithm (CS) with improved shuffled frog-leaping algorithm (ISFLA) is put forward for solving 0-1 knapsack problem. First of all, with the framework of SFLA, an improved frog-leap operator is designed with the effect of the global optimal information on the frog leaping and information exchange between frog individuals combined with genetic mutation with a small probability. Subsequently, in order to improve the convergence speed and enhance the exploitation ability, a novel CS model is proposed with considering the specific advantages of Lévy flights and frog-leap operator. Furthermore, the greedy transform method is used to repair the infeasible solution and optimize the feasible solution. Finally, numerical simulations are carried out on six different types of 0-1 knapsack instances, and the comparative results have shown the effectiveness of the proposed algorithm and its ability to achieve good quality solutions, which outperforms the binary cuckoo search, the binary differential evolution, and the genetic algorithm.
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Zhang, Jia Hua, and Chi Zhang. "Numerical Simulation of Flash Floods Routing Based on Improved Leap-Frog Method." Applied Mechanics and Materials 347-350 (August 2013): 2173–77. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2173.

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in the 2-d numerical simulation of flash flood disaster, due to flood often occurred in the steep terrain and water flow rapidly changed, lead to that the calculated value is unstable and even the calculation diverge in the simulation. This paper presents a grid outflow correction method, which is based on the leap-frog finite difference format, through modifying the outflow rate of the grid circularly, to ensure the mass conservation in the whole process of computing. In the local dam bursting model, the simulated result comparison of the grid outflow correction method and the algorithm of implicit alternating direction on the mass conservation shows that, the new method can ensure the simulation accuracy and the numerical stability under the condition of steep terrain and moving boundary. According to the proposed method, the simulation analysis in the process of extreme flash flood disasters which happened in 2010 Zhouqu county in Gansu province was carried out. The comparison of simulation results and remote sensing estimation results shows that the deviation of the flood evolution time, speed and impact height are within 5%, and the consistency of evolution path is good, which verifies the validity of the algorithm.
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Cui, Xuewu, Feng Yang, and Min Gao. "Improved local time‐stepping algorithm for leap‐frog discontinuous Galerkin time‐domain method." IET Microwaves, Antennas & Propagation 12, no. 6 (2018): 963–71. http://dx.doi.org/10.1049/iet-map.2017.0896.

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An, Guoping, Qingbin Tong, Yanan Zhang, et al. "An Improved Variational Mode Decomposition and Its Application on Fault Feature Extraction of Rolling Element Bearing." Energies 14, no. 4 (2021): 1079. http://dx.doi.org/10.3390/en14041079.

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The fault diagnosis of rolling element bearing is of great significance to avoid serious accidents and huge economic losses. However, the characteristics of the nonlinear, non-stationary vibration signals make the fault feature extraction of signal become a challenging work. This paper proposes an improved variational mode decomposition (IVMD) algorithm for the fault feature extraction of rolling bearing, which has the advantages of extracting the optimal fault feature from the decomposed mode and overcoming the noise interference. The Shuffled Frog Leap Algorithm (SFLA) is employed in the optimal adaptive selection of mode number K and bandwidth control parameter α. A multi-objective evaluation function, which is based on the envelope entropy, kurtosis and correlation coefficients, is constructed to select the optimal mode component. The efficiency coefficient method (ECM) is utilized to transform the multi-objective optimization problem into a single-objective optimization problem. The envelope spectrum technique is used to analyze the signals reconstructed by the optimal mode components. The proposed IVMD method is evaluated by simulation and practical bearing vibration signals under different conditions. The results show that the proposed method can improve the decomposition accuracy of the signal and the adaptability of the influence parameters and realize the effective extraction of the bearing vibration signal.
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Xiong, Q. Y., S. Y. Huang, Z. G. Yuan, et al. "A Scheme of Full Kinetic Particle-in-cell Algorithms for GPU Acceleration Using CUDA Fortran Programming." Astrophysical Journal Supplement Series 264, no. 1 (2022): 3. http://dx.doi.org/10.3847/1538-4365/ac9fd6.

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Abstract The emerging computable devices, graphical processing units (GPUs), are gradually applied in the simulations of space physics. In this paper, we introduce an approach that implements full kinetic particle-in-cell simulations on GPU architecture devices using the CUDA Fortran language programming for the first time. Using the latest high-performance computing NVIDIA GPUs, this program, which follows the second-order leap-frog iteration method, can speed up the computing process by a factor of 150–285 on a single device compared with the time cost of running with a single core of an Intel Xeon Gold processor. Our scheme improves fast accessibility to the simulation results and provides valuable assistance in studying the physical process.
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Munisekhar, P., G. Jayakrishna, and N. Visali. "Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network." International Journal of Electrical and Electronics Research 10, no. 4 (2022): 1199–205. http://dx.doi.org/10.37391/ijeer.100469.

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The importance of distributed generation (DG) has increased recently as a result of the growth in commercial and industrial loads, which has put more pressure on conventional energy sources and utilities. Alternative power generation methods that can handle the massive load without endangering the environment are therefore urgently needed. The installation of Energy Storage Systems (ESSs) may give a substantial opportunity to enhance the aesthetic appeal of the distribution system. DG is a practical substitute for conventional energy sources, which have drawbacks for both the economics and the environment. It goes without saying that there are situations in which a large amount of land and money are required. However, improper DG location or sizing increases safety issues because to the increasing power loss caused by larger reverse flow from the load to the supply. In order to reduce power losses and maintain voltage stability, the ideal location and dimensions for the DG and ESS in IEEE Radial Distribution systems are evaluated. To accomplish these objectives, a hybrid Shuffled Frog Leap Algorithm (SFLA) and Improved Firefly Algorithm (SFLA-IFFA) is suggested. The SFLA-IFFA produced better results in terms of the ideal location and DG size when compared to other existing algorithms.
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A., Raminfard, and M. Shahrtash S. "A Practical Method for Load Balancing in the LV Distribution Networks Case Study: Tabriz Electrical Network." June 22, 2010. https://doi.org/10.5281/zenodo.1059689.

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In this paper, a new efficient method for load balancing in low voltage distribution systems is presented. The proposed method introduces an improved Leap-frog method for optimization. The proposed objective function includes the difference between three phase currents, as well as two other terms to provide the integer property of the variables; where the latter are the status of the connection of loads to different phases. Afterwards, a new algorithm is supplemented to undertake the integer values for the load connection status. Finally, the method is applied to different parts of Tabriz low voltage network, where the results have shown the good performance of the proposed method.
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Prasad, Siyyadula Venkata Rama Vara, and Pabitra Mohan Khilar. "SVM‐SFL based malicious UAV detection in wireless sensor networks." Concurrency and Computation: Practice and Experience, February 15, 2024. http://dx.doi.org/10.1002/cpe.8049.

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SummaryIn the modern era, unmanned aerial vehicle (UAV) based wireless sensor networks (WSN) are rising technologies in wireless communication. Through UAV, the sensed data can be forwarded to the base station. However, the increase in network users leads to several malicious attacks on UAVs. Hence, it affects the performance of a WSN platform while transmitting private information through UAVs. Therefore, the proposed study intends to develop an effective malicious UAV detection approach using a machine‐learning algorithm. Initially, the deployed sensor nodes in WSN are utilized to collect the environmental data. These sensor nodes transmit the collected data to the UAV. During data transmission, the sensor nodes generate a feed packet (authentication parameter) and forward it to the UAV along with the sensed information. The feedback packet is encrypted through a proxy re‐encryption scheme to secure the input data. These encrypted packets with the sensed input data are then transmitted to the base station. Finally, the feedback packet is decrypted and attains the actual input information. From the received data, the classification is performed using a proposed support vector machine with a shuffled frog leap (SVM‐SFL) approach. The proposed approach is implemented with the NS3 Python tool, and the results are analyzed by evaluating several performance matrices. Compared with other existing methods, the proposed study obtained improved results in terms of accuracy (98.61%), precision (98.5%), sensitivity (98.63%), and F‐measure (98.62%).
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Conference papers on the topic "Improved leap-frog method"

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Zhang, Jiahua, and Chi Zhang. "Numerical Simulation of Flash Floods Routing Based on Improved Leap-frog Method." In 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). Atlantis Press, 2013. http://dx.doi.org/10.2991/iccsee.2013.669.

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Alzahrani, Mahmoud A., and Seung-Kyum Choi. "An Improved Variational Vibration Model of Damaged Beams to Obtain an Unconditionally Numerical Stable Model." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46914.

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Fault detection methods are significant in health monitoring of critical system components, including aerospace applications. Failure in such systems is unacceptable, even though engineers try to achieve very low failure probability in these systems. The ability to accurately model and analyze the characteristics of such systems would reduce the rates of false positives and missed detections in structural health monitoring. Previously, a detection model was developed to investigate the effects of combined impact of geometrical variations of machining errors and crack presence in beams. The model utilized the Leap Frog finite difference method, which had a restrictive condition on stability of the numerical method. This restriction would show to be critical with materials with high modulus and low density values. The proposed work will overcome the drawback of the current detection model by utilizing other finite difference methods to remove or relax the stability condition of the method; namely, the Weighted Average method and Du Fort-Frankel method. The presented result clearly shows that the Theta method could be used to obtain an unconditionally stable finite difference model with high accuracy. It is also observed that the result from the Du Fort-Frankel method is still conditionally stable, but the stability condition is more relaxed compared to the Leap Frog method. The results obtained from the improved model show good agreement with the example in the literature. The improved model is also applied to investigate a cantilevered beam with the presence of cracks and geometrical variations.
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