Cooperative Quantum-Behaved Particle Swarm Optimization with Dynamic Varying Search Areas and Lévy Flight Disturbance by Desheng Li

“…On the other hand, in order to escape the local optima, Lévy flights are used to generate the stochastic disturbance in the movement of particles. …”
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Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting by Akemi Gálvez, Andrés Iglesias, Luis Cabellos

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Research on inverse solution of shotcrete manipulators based on an improved bee colony algorithm by CHEN Hetian, CHENG Wenming, DU Run, ZHANG Zhipeng

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A FAULT DIAGNOSIS METHOD BASED ON IMPROVED ARTIFICAL BEE COLONY OPTIMIZE SUPPORT VECTOR MACHINE by WU YinHua, XU QiongYan

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Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm by Wang Junru, Qin Pengfei, Sun Guangbin

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Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network by Xu Jingwen, Yang Ping, Yin Xiaojun

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Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

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A Swarm Robotic Exploration Strategy Based on an Improved Random Walk Method by Bao Pang, Yong Song, Chengjin Zhang, Hongling Wang, Runtao Yang

“…The random walk methods that are used most commonly are Brownian motion and Lévy flight, both of which mimic the self-organized behavior of social insects. …”
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Distributed hybrid energy storage photovoltaic microgrid control based on MPPT algorithm and equilibrium control strategy by Yanlong Qi, Rui Liu, Haisheng Lin, Junchen Zhong, Zhen Chen

“…The randomness and ergodicity of Levy flight algorithm enable the hybrid algorithm to quickly adapt to the changes of light intensity and environmental conditions, and maintain the efficient operation of MPPT. …”
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Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification by Xiaojia Ye, Wei Liu, Hong Li, Mingjing Wang, Chen Chi, Guoxi Liang, Huiling Chen, Hailong Huang

“…In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA (MWOA) in which both the mutation strategy based on Levy flight and a local search mechanism of pattern search are introduced. …”
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Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine by Zhuanzhe Zhao, Yu Zhang, Qiang Ma, Yujian Rui, Guowen Ye, Mengxian Wang, Yongming Liu, Zhen Zhang, Neng Wei, Zhijian Tu

“…In view of the stagnation of iteration, Lévy flight strategy is introduced and the adaptive change of disturbance step length is controlled. …”
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An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization by Yuksel Celik, Erkan Ulker

“…In this study we propose improved marriage in honey bees optimization (IMBO) by adding Levy flight algorithm for queen mating flight and neighboring for worker drone improving. …”
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Bearing Fault Diagnosis based on ACSBP Algorithm by Cheng Jiatang, Xiong Yan

“…In the ACS algorithm,the Levy flight strategy is eliminated to reduce the randomness of the search process. …”
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Application of Improved Grey Wolf Optimization KFCM Algorithm in Fault Diagnosis of Wind Turbine Gearbox by Zheng Xiaoxia, Qian Yiqun, Wang Shuai, Zhao Kun

“…The introduction of Levy flight strategy and non-linear coefficient vector in the improved grey wolf optimization algorithm can improve the convergence speed and accuracy of the algorithm， and the clustering centers and kernel parameters can be obtained under the optimal classification results. …”
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Research on maximum power point tracking of photovoltaic power generation based on improved hybrid optimization algorithm by Liming Wei, Yuan Li

“…Meanwhile, introducing the gravitational constant into the GSA algorithm accomplishes the dynamic adjustment of the three key parameters in PSO. Furthermore, the Levy flight step is incorporated to enhance the global search capability. …”
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Wireless sensor node localization based on IPSO-MC by Yongyan LI, Jianping WU

“…To solve the problem of insufficient node positioning accuracy in wireless sensor networks,an algorithm based on improved particle swarm optimization by membrane computing (IPSO-MC) was proposed.Kent mapping was used to initialize the population and domain particles were introduced to improve the global optimization of the particle swarm.The weight factor and nonlinear extreme value perturbation were used to improve the local optimization ability of the particle swarm,and the Levy flight mechanism was used to optimize the individual position.Finally,the optimal solution of the particle swarm algorithm was obtained by the evolutionary rules of the membrane computing.Simulation experiments show that compared with the chicken flock algorithm,the improved particle swarm algorithm and the membrane computing,the proposed algorithm improves 3.24%,5.12% and 8.15% in the comparison of reference node ratio indicators,and the increase in the number of nodes indicators by 2.26%,7.82% and 9.81%,and the comparison of communication radius indicators increased by 2.15%,5.5% and 7.5%,respectively.This indicates that the algorithm has a good effect in node localization.…”
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Cloud Model Bat Algorithm by Yongquan Zhou, Jian Xie, Liangliang Li, Mingzhi Ma

“…This paper focuses on remodeling echolocation model based on living and preying characteristics of bats, utilizing the transformation theory of cloud model to depict the qualitative concept: “bats approach their prey.” Furthermore, Lévy flight mode and population information communication mechanism of bats are introduced to balance the advantage between exploration and exploitation. …”
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Otsu Based Optimal Multilevel Image Thresholding Using Firefly Algorithm by N. Sri Madhava Raja, V. Rajinikanth, K. Latha

“…The performances of the proposed algorithm are demonstrated by considering twelve benchmark images and are compared with the existing FA algorithms such as Lévy flight (LF) guided FA and random operator guided FA. …”
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Underwater source localization using time difference of arrival and frequency difference of arrival measurements based on an improved invasive weed optimization algorithm by Yunhang Lin, Zhenkai Zhang, Hamid Esmaeili Najafabadi

“…Abstract In this study, we propose an underwater localization method based on an improved invasive weed optimization algorithm to accurately locate moving sources in underwater sensor networks. First, the Lévy flight model is introduced into the invasive weed optimization algorithm to enhance its global search ability and avoid falling into local optima. …”
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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for model updating by Thanh Sang-To, Hoang-Le Minh, Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab., Thanh Cuong-Le

“…ES can be easy to deal with its problem via drastic support of Levy flight. As know that 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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