Cargando…
Some metaheuristic algorithms for solving multiple cross-functional team selection problems
We can find solutions to the team selection problem in many different areas. The problem solver needs to scan across a large array of available solutions during their search. This problem belongs to a class of combinatorial and NP-Hard problems that requires an efficient search algorithm to maintain...
Autores principales: | Ngo, Son Tung, Jaafar, Jafreezal, Izzatdin, Aziz Abdul, Tong, Giang Truong, Bui, Anh Ngoc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455285/ https://www.ncbi.nlm.nih.gov/pubmed/36092009 http://dx.doi.org/10.7717/peerj-cs.1063 |
Ejemplares similares
-
Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem
por: Ngo, Tung Son, et al.
Publicado: (2022) -
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
por: Dobrojevic, Milos, et al.
Publicado: (2023) -
An efficient optimizer for the 0/1 knapsack problem using group counseling
por: Ghadi, Yazeed Yasin, et al.
Publicado: (2023) -
A global-local neighborhood search algorithm and tabu search for flexible job shop scheduling problem
por: Escamilla Serna, Nayeli Jazmin, et al.
Publicado: (2021) -
An adaptive weighting mechanism for Reynolds rules-based flocking control scheme
por: Hoang, Duc N. M., et al.
Publicado: (2021)