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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2018
|
| Subjects: | |
| 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 |
Internet
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