Results 21 to 30 of about 5,500 (226)
Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading
This paper presents a novel modified Levy flight optimization for a photovoltaic PV solar energy system. Conventionally, the Perturb and Observe (P&O) algorithm has been widely deployed in most applications due to its simplicity and ease of ...
Chanuri Charin +3 more
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In this paper, we proposed a tunicate swarm algorithm based on Tent-Lévy flight (TLTSA) to avoid converging prematurely or failing to escape from a local optimal solution.
Yi Cui, Ronghua Shi, Jian Dong
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Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments
This study tackles the task of swarm robotics, where robots explore the environment to detect targets. When a robot detects a target, the robot must be connected with a base station via intermediate relay robots for wireless communication.
Yoshiaki Katada +4 more
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Improved Particle Swarm Optimization for Laser Cutting Path Planning
This research focuses on the long empty cutting path problem during the laser cutting process by employing an improved proximity method to establish the starting point set in complex closed graphics.
Pengju Qu, Feilong Du
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IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases Abstract Background and Aims Pruritus is associated with multiple liver diseases, particularly those with cholestasis, but the mechanism remains incompletely understood.
Jun Xu +20 more
wiley +1 more source
LFGCN: Levitating over Graphs with Levy Flights [PDF]
Due to high utility in many applications, from social networks to blockchain to power grids, deep learning on non-Euclidean objects such as graphs and manifolds, coined Geometric Deep Learning (GDL), continues to gain an ever increasing interest. We propose a new Lévy Flights Graph Convolutional Networks (LFGCN) method for semi-supervised learning ...
Chen, Yuzhou +2 more
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Improved sine cosine algorithm for large-scale optimization problems
Aiming at the shortcomings of the sine cosine algorithm (SCA) in solving the large-scale optimization problems, such as low accuracy, slow convergence speed, and being easy to fall into the dimension disaster, we propose an sine cosine algorithm with ...
ZHANG Chao, YANG Yi
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An Improved Flow Direction Algorithm for Engineering Optimization Problems
Flow Direction Algorithm (FDA) has better searching performance than some traditional optimization algorithms. To give the basic Flow Direction Algorithm more effective searching ability and avoid multiple local minima under the searching space, and ...
Yuqi Fan +4 more
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We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Lévy flights and Lévy-Schrödinger semigroups [PDF]
Abstract We analyze two different confining mechanisms for Lévy flights in the presence of external potentials. One of them is due to a conservative force in the corresponding Langevin equation. Another is implemented by Lévy-Schrödinger semigroups which induce so-called topological Lévy processes (Lévy flights with locally modified jump
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