TY - GEN
T1 - Heterogeneous Particle Swarm Optimizer and its Application in Aircraft Manufacturing Logistics
AU - Cao, Yulian
AU - Zhou, Mengchu
AU - Li, Wenfeng
AU - Lodewijks, Gabriel
N1 - Funding Information:
This work was partly supported by the NSFC under Grant No. 61571336.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Particle swarm optimization (PSO) attracts much attention due to its ability in solving complex practical engineering problems effectively. To further improve its performance, a heterogeneous particle swarm optimizer (HPSO) is proposed in this work. Five widely used benchmark functions are selected to test its efficiency. Furthermore, five state-of-the-art improved PSO variants are selected for a comparisons purpose. The results demonstrate that HPSO is better than the other five algorithms. A logistics problem in aircraft manufacturing is then studied and solved. The results show HPSO's superiority over its tested PSO variants.
AB - Particle swarm optimization (PSO) attracts much attention due to its ability in solving complex practical engineering problems effectively. To further improve its performance, a heterogeneous particle swarm optimizer (HPSO) is proposed in this work. Five widely used benchmark functions are selected to test its efficiency. Furthermore, five state-of-the-art improved PSO variants are selected for a comparisons purpose. The results demonstrate that HPSO is better than the other five algorithms. A logistics problem in aircraft manufacturing is then studied and solved. The results show HPSO's superiority over its tested PSO variants.
KW - aircraft manufacturing logistics
KW - evolutionary computation
KW - facility location
KW - particle swarm optimizer (PSO)
UR - http://www.scopus.com/inward/record.url?scp=85096351329&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096351329&partnerID=8YFLogxK
U2 - 10.1109/ICNSC48988.2020.9238107
DO - 10.1109/ICNSC48988.2020.9238107
M3 - Conference contribution
AN - SCOPUS:85096351329
T3 - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
BT - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
Y2 - 30 October 2020 through 2 November 2020
ER -