Cargando…
Quantum-behaved particle swarm optimization based on solitons
This paper introduces a novel variant of the quantum particle swarm optimization algorithm based on the quantum concept of particle-like solitons as the most common solutions of the quantum nonlinear Schrödinger equation. Soliton adaptation in external potentials is one of their most remarkable feat...
Autores principales: | Fallahi, Saeed, Taghadosi, Mohamadreza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385677/ https://www.ncbi.nlm.nih.gov/pubmed/35978114 http://dx.doi.org/10.1038/s41598-022-18351-0 |
Ejemplares similares
-
A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization
por: Sun, Tao, et al.
Publicado: (2017) -
An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization
por: Yang, Zhen-Lun, et al.
Publicado: (2015) -
Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization
por: Bajaj, Anu, et al.
Publicado: (2022) -
An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection
por: Wang, Xingmei, et al.
Publicado: (2017) -
A Brain Tumor Image Segmentation Method Based on Quantum Entanglement and Wormhole Behaved Particle Swarm Optimization
por: Zhang, Tianchi, et al.
Publicado: (2022)