Particle Swarm Optimization—An Adaptation for the Control of Robotic Swarms
Particle Swarm Optimization (PSO) is a numerical optimization technique based on the motion of virtual particles within a multidimensional space. The particles explore the space in an attempt to find minima or maxima to the optimization problem. The motion of the particles is linked, and the overall...
Main Authors: | George Rossides, Benjamin Metcalfe, Alan Hunter |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Robotics |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-6581/10/2/58 |
Similar Items
-
Source Localisation Using Wavefield Correlation-Enhanced Particle Swarm Optimisation
by: George Rossides, et al.
Published: (2022-04-01) -
Extended PSO Based Collaborative Searching for Robotic Swarms With Practical Constraints
by: Jian Yang, et al.
Published: (2019-01-01) -
Obstacle Avoidance Path Planning of Space Robot Based on Improved Particle Swarm Optimization
by: Jianxia Zhang, et al.
Published: (2022-05-01) -
An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization
by: Shu-Kai S. Fan, et al.
Published: (2019-04-01) -
Competitive Coevolution-Based Improved Phasor Particle Swarm Optimization Algorithm for Solving Continuous Problems
by: Omer Ali, et al.
Published: (2023-10-01)