Cargando…
Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM
The parameter setting of meta-heuristic algorithms is one of the most effective issues in the performance of meta-heuristic algorithms and is usually done experimentally which is very time-consuming. In this research, a new hybrid method for selecting the optimal parameters of meta-heuristic algorit...
Autor principal: | Shadkam, Elham |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595077/ https://www.ncbi.nlm.nih.gov/pubmed/34786624 http://dx.doi.org/10.1007/s11356-021-17364-y |
Ejemplares similares
-
A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization
por: Li, Guocheng, et al.
Publicado: (2019) -
Developing a Novel Integrated Generalised Data Envelopment Analysis (DEA) to Evaluate Hospitals Providing Stroke Care Services
por: Mirmozaffari, Mirpouya, et al.
Publicado: (2021) -
Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms
por: AbdelAty, Amr M., et al.
Publicado: (2022) -
Performance Evaluation Method of Public Administration Department Based on Improved DEA Algorithm
por: Guan, Qing, et al.
Publicado: (2022) -
Fast algorithms and heuristics for phylogenomics under ILS and hybridization
por: Yu, Yun, et al.
Publicado: (2013)