Model Genetic Rules Based Systems for Evaluation of Projects

Jesus Silva, John Freddy Escobar Gomez, Ernesto Steffens Sanabria, Hugo Hernandez Palma, Midori Ikeda, Jorge Linares, Nohora Mercado

Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva


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 are affected every year by errors in planning or control and monitoring of projects, with an economic and social impact. The objective of this research is to evaluate the MCGEP evolutionary algorithm in different versions databases with information on the evaluation of IT projects. The aim is to determine the possibility of applying an evolutionary algorithm that uses programming of genetic expressions as opposed to others of greater use.
Idioma originalInglés
Páginas (desde-hasta)390-395
Número de páginas6
PublicaciónProcedia Computer Science
EstadoPublicada - 2020
Publicado de forma externa
Evento11th International Conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd International Conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops - Warsaw, Polonia
Duración: 6 abr. 20209 abr. 2020

Palabras Clave

  • Genetic Algorithms
  • Gene Expression Programming
  • MCGEP Algorithm
  • Project Evaluation
  • Rules learning


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