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PSO-ECM: particle swarm optimization-based evidential C-means algorithm
As an extension of Fuzzy C-Means (FCM), Evidence C-Means (ECM) is proposed in the framework of Dempster–Shafer theory (DST) and has been applied to...
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Multi-UAV pursuit-evasion gaming based on PSO-M3DDPG schemes
The sample data for reinforcement learning algorithms often exhibit sparsity and instability, making the training results susceptible to falling into...
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PSO-based Searching Precoding for MU-MIMO System
This paper deals with the design of optimal linear precoder for multi-user multiple-input multiple-output (MU-MIMO) system. The singular value...
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Overall Impeller Numerical Control Machining Technology Based on SA-PSO Hybrid Algorithm
This paper is based on NURBS curve surface modelling and aims to reduce surface undercuts and overcut errors. It deeply studies tool path planning... -
Optimal Layout Design of Multi-Rotor Vehicle Based on PSO Algorithm
In the design of multi-rotor vehicles, it is very important to predesign the overall layout from the perspective of fluid dynamics and flight and... -
Research on Gait Trajectory Planning of Wall-Climbing Robot Based on Improved PSO Algorithm
In order to reduce the labor intensity of high-altitude workers and realize the cleaning and maintenance of high-rise building exteriors, this paper...
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An Improved Power Control Strategy for Induction Heating Power Supply Based on PSO Algorithm
The traditional PI control suffers from the problems of difficult parameter rectification and poor dynamic performance, which cannot meet the power... -
Coordinated design of PSS and multiple FACTS devices based on the PSO-GA algorithm to improve the stability of wind–PV–thermal-bundled power system
In order to realize the coordinated design of multiple flexible AC transmission systems (FACTS) devices in the wind–PV–thermal-bundled (WPTB) power...
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Prediction for permeability index of blast furnace based on VMD–PSO–BP model
The permeability index is one of the important production indicators to monitor the operation of blast furnace. It is crucial to grasp the trends of...
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Multipoint Heave Motion Prediction Method for Ships Based on the PSO-TGCN Model
During ship operations, frequent heave movements can pose significant challenges to the overall safety of the ship and completion of cargo loading....
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PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method
Four hybrid intelligent methods are developed to predict the maximum ground surface settlement ( S max ) induced by shallow underground excavation...
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PSO Based Fractional Order PI Controller and ANFIS Algorithm for Wind Turbine System Control and Diagnosis
In the recent years, the usage of fossil fuels presents the major source of air pollutants and greenhouse gases. Renewable energies essentially wind,...
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Optimization method for a moving-coil electromagnetic linear actuator using an improved Macaca thibetana behavior-based hierarchical GA–PSO algorithm
This study proposes an optimization method for the structural design of a moving-coil electromagnetic linear actuator (MCELA) with a Halbach...
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Research on cutting tool edge geometry design based on SVR-PSO
In order to optimize the design of the tool edge, an intelligent method was used for modeling and optimization. The tool edge design method based on...
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An integrated system for tunnel construction safety control based on BIM–IoT–PSO
A reasonable tunnel construction scheme is the key to preventing tunnel accidents and reducing cost waste. Aiming at a series of problems such as...
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A Method of UAV Cluster Track Planning Based on Improved PSO Algorithm
Aiming at the problem that the complex constraints of UAV cluster offline path planning are easy to lead to no solution in calculation, a method of... -
Security Establishment in Cybersecurity Environment Using PSO Based Optimization
Cybersecurity based significant data context is considered a challenge in the research community. Machine learning approaches are considered for...
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Lung Cancer Detection Using Hybrid Methods of Otsu-Based PSO Algorithm Combined with ACO Algorithm
Early identification of lung cancer could lead to a reduction in mortality. Due to the difficult process in the analysis of imaging tests,... -
Particle Swarm Optimization Algorithm with Improved Opposition-Based Learning (IOBL-PSO) to Solve Continuous Problems
This paper presents a particle swarm optimization algorithm with improved opposition-based learning (IOBL-PSO) to solve continuous optimization... -
A State Detection Method of Induction Motor Based on PSO-BS-SMO
In order to improve the performance of sliding mode observer in detecting the state of induction motor, a state detection method based on particle...