Energy management strategy for methanol hybrid commercial vehicles based on improved dung beetle algorithm optimization. by Zhihao Li, Ping Xiao, Jiabao Pan, Wenjun Pei, Aoning Lv

“…The Tent chaotic mapping is then used to integrate strategies of cosine, Lévy flight, and Cauchy Gaussian mutation, improving the DBO. …”
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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Chen-Xu Tian, Yu-Xuan Li

“…Gaussian distributed phase parameter $$\beta$$ β is introduced to reduce the randomness of parameters and stimulate the potential of algorithm exploitation. Levy flight escape strategy is introduced to balance the global exploration ability of the algorithm and fully explore the solution space. …”
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Identification model of mine water inrush source based on XGBoost and SHAP by Bencong Kou, Tingxin Wen

“…The Sparrow Search Algorithm combines Tent chaos mapping and Levy flight strategy (CLSSA), which makes the optimization process better balance the global search ability and local search ability, so as to improve the efficiency and effect of parameter optimization. …”
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Comparative Study of Population-based Metaheuristic Algorithms in Case Study of DNA Sequence Assembly by Lala Septem Riza, Yudi Prasetyo, Muhammad Iqbal Zain, Herbert Siregar, Rani Megasari, Topik Hidayat, Diah Kusumawaty, Miftahurrahma Rosyda

“…The algorithms used in this study include the Honey Badger Algorithm (HBA), Levy Flight Distribution (LFD), African Vultures Optimization Algorithm (AVOA), and Particle Swarm Optimization (PSO). …”
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Parameter Estimation of Photovoltaic Models via Cuckoo Search by Jieming Ma, T. O. Ting, Ka Lok Man, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong

“…Cuckoo Search (CS) is invented based on the inspiration of brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior. In this paper, a CS-based parameter estimation method is proposed to extract the parameters of single-diode models for commercial PV generators. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

“…Furthermore, Gaussian walk and Lévy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

“…The first step in preparing the dataset is to perform preprocessing, which involves conducting correlation analysis, scaling, and normalization followed by initial hyperparameter tuning using the multiswarm Levy flight particle swarm optimization technique. Compared with traditional methods, EDW-MKSVR offers greater adaptability to shifting load patterns since it makes use of dynamic kernel weight modifications that are dependent on data attributes. …”
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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for damage detection of steel frame by Cuong Le Thanh, Thanh Sang-To, Hoang-Le Hoang-Le, Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab

“…ES is easy to deal with its problem via drastic support of Levy flight. As known, the PSO algorithm has a fast search speed, yet the accuracy of the PSO algorithm is not as good as expected in many problems. …”
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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

“…Furthermore, inspired by the grey wolf optimization algorithm, use 3 excellent particle surround strategies instead of the original random selecting particles. Finally, a novel Levy flight was implemented to promote the diversity of whale distribution. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Secondly, it utilizes an Adaptive Levy Flight Motion (ALFM) technique to enhance exploration. …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Firstly, Spatial Pyramid Matching (SPM) chaotic mapping, variable spiral strategy, Levy flight mechanism, and adaptive T-distribution variation perturbation strategy were utilized to enhance the DBO algorithm. …”
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An optimized method for AUV trajectory model in benthonic hydrothermal area based on improved slime mold algorithm by Chunmeng Jiang, Yiming Tang, Jianguo Wang, Wenchao Zhang, Min Zhou, Jiaying Niu, Lei Wan, Guofang Chen, Gongxing Wu, Xide Cheng

“…An improved slime mold algorithm (SMA) was put forward to optimize the interpolating points used in the trajectory modeling. The Levy flight technology and the compactness technique to speed up the search process and increase the search accuracy. …”
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A hybrid algorithm based on improved sine cosine algorithm and population incremental learning and its application to economic load dispatch in power systems by Aoshuang Ye, Yichao Li, Dong Xu, Zhiwei Wu, Guohua Chen, Junjie Tang, Zhiyuan Zhu

“…First, the Improved Sine Cosine Algorithm (ISCA) is developed by incorporating the hyperbolic sinusoidal cosine function, which dynamically interferes with individual positions to enhance optimization accuracy. Additionally, the Levy flight function is embedded within ISCA to improve its exploratory capabilities. …”
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Enhancement of stability of metastable states in the presence of Lévy noise by Alexander A. Dubkov, Claudio Guarcello, Bernardo Spagnolo

“…For the specific case of Lévy flights with an index $\alpha = 1$ and a cubic metastable potential, a closed expression for the mean residence time is obtained in quadratures. …”
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Spectrum allocation based on quantum cuckoo search algorithm in cognitive radio network by Xianping WANG, Hui CAO

“…There are discrete optimization problems for spectrum allocation in cognitive wireless network.A novel combinatorial optimization algorithm called quantum cuckoo search algorithm （QCSA）was proposed,which was based on quantum computing and cuckoo search algorithm.The quantum nest was used to represent multiple dimensionality solution for the optimization problem,and the global optimal position was found according to Lévy flights and quantum mutation strategy.In additional,some classical benchmark functions were employed to prove the effectiveness of QCSA,and a spectrum allocation method based on QCSA was proposed for cognitive network.Compared with classical spectrum allocation methods by using different network utility functions,the global optimal solution can be searched so fast.Simulation results show that the proposed spectrum allocation method based on QCSA is better than other traditional methods under different network utility functions.…”
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Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption by Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

“…Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). …”
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