Heterogeneous Particle Swarm Optimizer and its Application in Aircraft Manufacturing Logistics
Document Type
Conference Proceeding
Publication Date
10-30-2020
Abstract
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.
Identifier
85096351329 (Scopus)
ISBN
[9781728168531]
Publication Title
2020 IEEE International Conference on Networking Sensing and Control Icnsc 2020
External Full Text Location
https://doi.org/10.1109/ICNSC48988.2020.9238107
Grant
61571336
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Cao, Yulian; Zhou, Mengchu; Li, Wenfeng; and Lodewijks, Gabriel, "Heterogeneous Particle Swarm Optimizer and its Application in Aircraft Manufacturing Logistics" (2020). Faculty Publications. 4898.
https://digitalcommons.njit.edu/fac_pubs/4898
