Cargando…
MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems
A novel multi-objective Coronavirus disease optimization algorithm (MOCOVIDOA) is presented to solve global optimization problems with up to three objective functions. This algorithm used an archive to store non-dominated POSs during the optimization process. Then, a roulette wheel selection mechani...
Autores principales: | Khalid, Asmaa M., Hamza, Hanaa M., Mirjalili, Seyedali, Hosny, Khaid M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153059/ https://www.ncbi.nlm.nih.gov/pubmed/37362577 http://dx.doi.org/10.1007/s00521-023-08587-w |
Ejemplares similares
-
BCOVIDOA: A Novel Binary Coronavirus Disease Optimization Algorithm for Feature Selection
por: Khalid, Asmaa M., et al.
Publicado: (2022) -
Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm
por: Hosny, Khalid M., et al.
Publicado: (2022) -
Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function
por: Hosny, Khalid M., et al.
Publicado: (2022) -
COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle
por: Khalid, Asmaa M., et al.
Publicado: (2022) -
A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems
por: Yang, Yufei, et al.
Publicado: (2023)