Cargando…
An improved African vultures optimization algorithm based on tent chaotic mapping and time-varying mechanism
Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability. Therefore, to further improve the African vultures optimization...
Autores principales: | Fan, Jiahao, Li, Ying, Wang, Tan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8631685/ https://www.ncbi.nlm.nih.gov/pubmed/34847188 http://dx.doi.org/10.1371/journal.pone.0260725 |
Ejemplares similares
-
IBGJO: Improved Binary Golden Jackal Optimization with Chaotic Tent Map and Cosine Similarity for Feature Selection
por: Zhang, Kunpeng, et al.
Publicado: (2023) -
An Effective Color Image Encryption Based on Henon Map, Tent Chaotic Map, and Orthogonal Matrices
por: Kanwal, Shamsa, et al.
Publicado: (2022) -
Many-objective African vulture optimization algorithm: A novel approach for many-objective problems
por: Askr, Heba, et al.
Publicado: (2023) -
A new image encryption algorithm based on logistic chaotic map with varying parameter
por: Liu, Lingfeng, et al.
Publicado: (2016) -
An Improved African Vulture Optimization Algorithm for Dual-Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problems
por: He, Zhou, et al.
Publicado: (2022)