Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence

Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence

Particle Swarm Optimization (PSO) is a metaheuristic evolutionary computation technique inspired by the social behavior of birds and fish flock. The classical PSO has limitations of slow convergence rate and trapping in local minima, as the dimensions of the data increase. Moreover, majority of impr...

Full description

Bibliographic Details
Main Authors: Atiq Ur Rehman, Ashhadul Islam, Samir Brahim Belhaouari
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary computation
global optimization
high dimensional data
particle swarm optimization
swarm intelligence
Online Access:https://ieeexplore.ieee.org/document/9223747/

Internet

https://ieeexplore.ieee.org/document/9223747/

Similar Items