Cargando…
Utilizing artificial intelligence to solving time – cost – quality trade-off problem
This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to process the input model’s data. This paper aims...
Autores principales: | Son, Pham Vu Hong, Khoi, Luu Ngoc Quynh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684541/ https://www.ncbi.nlm.nih.gov/pubmed/36418454 http://dx.doi.org/10.1038/s41598-022-24668-7 |
Ejemplares similares
-
Building projects with time–cost–quality–environment trade-off optimization using adaptive selection slime mold algorithm
por: Son, Pham Vu Hong, et al.
Publicado: (2023) -
Solving large-scale discrete time–cost trade-off problem using hybrid multi-verse optimizer model
por: Son, Pham Vu Hong, et al.
Publicado: (2023) -
A New Model for Solving Time-Cost-Quality Trade-Off Problems in Construction
por: Fu, Fang, et al.
Publicado: (2016) -
Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem
por: Liu, Guanyi, et al.
Publicado: (2023) -
Artificial intelligence and problem solving
por: Kopec, Danny, et al.
Publicado: (2016)