Improving particle swarm optimization via adaptive switching asynchronous – synchronous update

Particle swarm optimization (PSO) is a population-based metaheuristic optimization algorithm that solves a problem through iterative operations. Traditional PSO iteration strategies can be categorized into two groups: synchronous (S-PSO) or asynchronous (A-PSO) update. In S-PSO, the performance of t...

Full description

Bibliographic Details

Main Authors:	Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Marizan, Mubin, Sophan Wahyudi, Nawawi, Mohd Saberi, Mohamad
Format:	Article
Language:	en en
Published:	Elsevier Ltd 2018
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/22298/1/Improving%20particle%20swarm%20optimization%20via%20adaptive%20switching%20asynchronous.pdf http://umpir.ump.edu.my/id/eprint/22298/7/Improving%20particle%20swarm%20optimization%20via%20adaptive%20switching%20asynchronous%20%E2%80%93%20synchronous%20update.pdf http://umpir.ump.edu.my/id/eprint/22298/ https://doi.org/10.1016/j.asoc.2018.07.047
Tags:	Add Tag No Tags, Be the first to tag this record!