Hybrid APSO�Spiral Dynamic Algorithm
The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles. © 2020, Springer Nature Switzerland AG.
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Springer
2020
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085158975&doi=10.1007%2f978-3-030-47737-0_4&partnerID=40&md5=8c42cc64c58f79a1eeec3280bcea0102 http://eprints.utp.edu.my/24796/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
id |
my.utp.eprints.24796 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.247962021-08-27T06:13:37Z Hybrid APSO�Spiral Dynamic Algorithm Hassan, S.M. Ibrahim, R. Saad, N. Bingi, K. Asirvadam, V.S. The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles. © 2020, Springer Nature Switzerland AG. Springer 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085158975&doi=10.1007%2f978-3-030-47737-0_4&partnerID=40&md5=8c42cc64c58f79a1eeec3280bcea0102 Hassan, S.M. and Ibrahim, R. and Saad, N. and Bingi, K. and Asirvadam, V.S. (2020) Hybrid APSO�Spiral Dynamic Algorithm. Studies in Systems, Decision and Control, 293 . pp. 95-120. http://eprints.utp.edu.my/24796/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
description |
The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles. © 2020, Springer Nature Switzerland AG. |
format |
Article |
author |
Hassan, S.M. Ibrahim, R. Saad, N. Bingi, K. Asirvadam, V.S. |
spellingShingle |
Hassan, S.M. Ibrahim, R. Saad, N. Bingi, K. Asirvadam, V.S. Hybrid APSO�Spiral Dynamic Algorithm |
author_facet |
Hassan, S.M. Ibrahim, R. Saad, N. Bingi, K. Asirvadam, V.S. |
author_sort |
Hassan, S.M. |
title |
Hybrid APSO�Spiral Dynamic Algorithm |
title_short |
Hybrid APSO�Spiral Dynamic Algorithm |
title_full |
Hybrid APSO�Spiral Dynamic Algorithm |
title_fullStr |
Hybrid APSO�Spiral Dynamic Algorithm |
title_full_unstemmed |
Hybrid APSO�Spiral Dynamic Algorithm |
title_sort |
hybrid apso�spiral dynamic algorithm |
publisher |
Springer |
publishDate |
2020 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085158975&doi=10.1007%2f978-3-030-47737-0_4&partnerID=40&md5=8c42cc64c58f79a1eeec3280bcea0102 http://eprints.utp.edu.my/24796/ |
_version_ |
1738656640624754688 |