Shark smell optimization sso algorithm
Webb21 dec. 2024 · Shark Smell Optimization SSO Algorithm for Cloud Jobs Scheduling. 71: A Visual Decision Making Support System for the Diabetes Prevention. 81: Design and Implementation of Secured EBusiness Structure with LTL Patterns for User Behavior Prediction. 185: Webbmetaheuristic nature inspired Modified Shark Smell Optimization (MSSO) algorithm was proposed to identify the optimal network reconfiguration in IEEE 33-bus radial distribution system (RDS). The proposed MSSO algorithm and the load flow analysis (Fast Decoupled Load Flow method) was developed and simulated using MATLAB. The
Shark smell optimization sso algorithm
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Webb13 apr. 2024 · They proposed a method based on the Shark Smell Optimization (SSO) algorithm, Dynamic Voltage, Frequency Scaling (DVFS) model, and fuzzy logic to reduce the energy consumption of IoT and increase load-balancing among the nodes. The simulation outcomes indicated that the method has decreased energy usage compared to PSO and … WebbFurthermore, the shark smell optimization-Broad Learning System (SSO-BLS) algorithm is proposed. SSO-BLS is compared with RBF, BLS, BFO-ELM, and other algorithms. The results show that the grid-connected DC microgrid model based on SSO-BLS has good accuracy and generalization characteristics. Full article
WebbThis paper proposed a new job scheduling mechanism based on Shark Smell Optimization (SSO) algorithm. The proposed mechanism of job scheduling aims to find an efficient distribution of jobs based on SSO to mimic the behavior of … Webb28 feb. 2024 · White Shark Optimizer (WSO) This is a novel meta-heuristic algorithm so-called White Shark Optimizer (WSO) to solve optimization problems over a continuous search space. The core ideas and underpinnings of WSO are inspired by the behaviors of great white sharks, including their exceptional senses of hearing and smell while …
http://ir.jkuat.ac.ke/bitstream/handle/123456789/4854/Shaibu_Ali_Juma_EE300-0012-17_Thesis%20Report.pdf Webb6 feb. 2024 · shark smell optimization (SSO) algorithm has more powerful searching capabilities, even in the end of the iteration. T o improve the global optimization …
WebbShark Smell Optimization (SSO) has relied on the Shark’s ability because it has superiority in catching prey by using a strong smell sense in a short time [18]–[20]. SSO algorithm …
WebbPurpose – Based on the positive features of the shark smell optimization (SSO) algorithm, the purpose of this paper is to propose a method based on this algorithm, dynamic … how many people work for awsWebb9 sep. 2016 · This problem has been considered as an optimization problem based on SSO that evaluate the balance between cost and risk. This algorithm is based on distinct shark smell abilities for localizing the prey. In sharks' movement, the concentration of the odor is an important factor to guide the shark to the prey. how can you unblock youtubeWebb15 feb. 2024 · The Shark Smell Optimizer simulates the hunting process for a Shark. Hence, Shark Smell Optimizer is a nature-inspired and metaheuristic optimization … how can you type h2o and 3x2WebbOne algorithm that can help calculate bank capacitor optimization is the Shark Smell Optimization (SSO) algorithm. The method based on shark behavior uses olfaction and its speed in approaching odor particles of prey blood [7]. The concentration of the odor is the main thing to guide the shark’s movement to the prey [8]. how many people work for american airlinesWebbDate of publication xxxx 00, 0000, Date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2024.DOI A Multi-Objective Bee Foraging how many people work for bae systemsWebbThe current research paper presents Oppositional Shark Shell Optimization with Hybrid Deep Learning Model for Air Pollution Monitoring (OSSOHDLAPM) in ITS environment. … how can you unlike something on facebookWebbThis hybrid algorithm merges two well-performed algorithms, such as Shark Smell Optimization (SSO) and Jaya Algorithm (JA), and thus termed as Jaya-based Shark Smell Optimization (J-SSO). The optimal key generation is accomplished by deriving a multi-objective function that involves the parameters, such as the degree of modification, … how many people work for baxter