Model genetic rules based systems for evaluation of projects
The process of project evaluation is of vital importance for decision-making in organizations. In the particular case of IT projects, the historical average of successful projects is 30.7%, while renegotiated projects are 47.3% and cancelled projects are 22% [1]. These figures mean that huge budgets...
- Autores:
-
Silva, Jesus
Escobar Gomez, John Freddy
Steffens Sanabria, Ernesto
hernandez Palma, Hugo
Ikeda Tsukazan, Lucía Midori
Linares Weilg, Jorge Luis
Mercado, Nohora
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7800
- Acceso en línea:
- https://hdl.handle.net/11323/7800
https://doi.org/10.1016/j.procs.2020.03.069
https://repositorio.cuc.edu.co/
- Palabra clave:
- Genetic Algorithms
Gene Expression Programming
MCGEP Algorithm
Project Evaluation
Rules learning
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International