A user-centered approach to evolutionary algorithms and their use in industry
The key contribution of this article to the domain of engineering optimisation is establishing best practices with respect to the development of evolutionary algorithms in the context of design engineering. Despite their various uses, the uptake of evolutionary algorithms in industry remains limited...
Guardado en:
Autores principales: | Jakub Vincalek, Sean Walton, Ben Evans |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/310f70dcf8f3447f927a64876bddd48e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II
por: Matheus F. Torquato, et al.
Publicado: (2021) -
A decision support tool for optimising groundwater-level monitoring networks using an adaptive genetic algorithm
por: Antonios Parasyris, et al.
Publicado: (2021) - Engineering optimization
-
Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
por: Keivan Rahimi-Adli, et al.
Publicado: (2021) -
Overview on Binary Optimization Using Swarm-Inspired Algorithms
por: Mariana Macedo, et al.
Publicado: (2021)