Results 31 to 40 of about 29,939 (156)

Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction

open access: yesAbstract and Applied Analysis, 2014
This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO).
Jinna Lu, Hongping Hu, Yanping Bai
doaj   +1 more source

Grasping Posture Control Design for a Home Service Robot Using an ABC-Based Adaptive PSO Algorithm

open access: yesInternational Journal of Advanced Robotic Systems, 2016
In this paper, a grasping posture control for a robotic arm is developed based on novel adaptive particle swarm optimization (PSO) for the home service robot.
Tzuu-Hseng S. Li   +3 more
doaj   +1 more source

Particle Swarm Optimization with Independent Adaptive Parameter Adjustment

open access: yesJisuanji kexue yu tansuo, 2020
Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
doaj   +1 more source

Nonlinear Dissipative Particle Swarm Algorithm and Its Applications

open access: yesIEEE Access, 2021
A nonlinear dissipative particle swarm algorithm is proposed for the problem of poor search accuracy by the particle swarm algorithm, especially for the optimization of high-dimensional functions.
Qinghe Xu, Tunhua Wu, Weiwei Wang
doaj   +1 more source

An Improved Beetle Antennae Search Algorithm and Its Application on Economic Load Distribution of Power System

open access: yesIEEE Access, 2020
The beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby find the food.
Meijin Lin   +3 more
doaj   +1 more source

PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

open access: yesThe Journal of Engineering, 2019
Partial transmit sequence (PTS) is one of the effective techniques for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. PTS technique has some issues such as higher computational complexity due
Sanjana Prasad   +2 more
doaj   +1 more source

Inverse Kinematics Solution of 6-DOF Manipulator Based on Multi-Objective Full-Parameter Optimization PSO Algorithm

open access: yesFrontiers in Neurorobotics, 2022
A multi-objective full-parameter optimization particle swarm optimization (MOFOPSO) algorithm is proposed in this paper to overcome the drawbacks of poor accuracy, low efficiency, and instability of the existing algorithms in the inverse kinematics(IK ...
Sha Luo   +3 more
doaj   +1 more source

An Adaptive Particle Swarm Optimization Algorithm Based on Guiding Strategy and Its Application in Reactive Power Optimization

open access: yesEnergies, 2019
An improved adaptive particle swarm algorithm with guiding strategy (GSAPSO) was proposed, and it was applied to solve the reactive power optimization (RPO).
Fengli Jiang   +4 more
doaj   +1 more source

LSEWOA: An Enhanced Whale Optimization Algorithm with Multi-Strategy for Numerical and Engineering Design Optimization Problems

open access: yesSensors
The Whale Optimization Algorithm (WOA) is a bio-inspired metaheuristic algorithm known for its simple structure and ease of implementation. However, WOA suffers from issues such as premature convergence, low population diversity in the later stages of ...
Junhao Wei   +6 more
doaj   +1 more source

Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm

open access: yesIEEE Open Journal of Intelligent Transportation Systems
Path planning is a crucial technology and challenge in various fields, including robotics, autonomous systems, and intelligent transportation systems.
Muhammad Haris, Haewoon Nam
doaj   +1 more source

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