Improving particle swarm optimization via adaptive switching asynchronous – synchronous update

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...

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Bibliographic Details
Main Authors: Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Marizan, Mubin, Sophan Wahyudi, Nawawi, Mohd Saberi, Mohamad
Format: Article
Language:English
English
Published: Elsevier Ltd 2018
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/22298/
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

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