Three novel quantum-inspired swarm optimization algorithms using different bounded potential fields
10.1038/s41598-021-90847-7
Saved in:
Main Authors: | Alvarez-Alvarado, Manuel S., Alban-Chacón, Francisco E., Lamilla-Rubio, Erick A., Rodríguez-Gallegos, Carlos D., Velásquez, Washington |
---|---|
Other Authors: | SOLAR ENERGY RESEARCH INST OF S'PORE |
Format: | Article |
Published: |
Nature Research
2022
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/233053 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Human learning principles inspired particle swarm optimization algorithms
by: Muhammad Rizwan Tanweer
Published: (2017) -
Studies on the performance bounds and design of current-steering DACs
by: Chacón, Oscar Morales
Published: (2022) -
Slime mold inspired swarm robot system for underwater wireless data communication
by: Vicerra, Ryan Rhay P., et al.
Published: (2016) -
Physics-inspired forms of the Bayesian Cramer-Rao bound
by: Tsang, Mankei
Published: (2021) -
Quantum Inspired Intelligent Systems
by: Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle.
Published: (2017)