Intelligent Systems


This group conducts basic and applied research to develop intelligent systems for solving problems across a wide range of application areas including optimization and logistics, ambient intelligence, web semantics, healthcare, forecasting and business intelligence, among others.

The investigation focuses on the development of innovative heuristic, metaheuristic and hyper-heuristic algorithms based on computational intelligence and other techniques to model and understand the complexity of the interaction between problems and algorithms with the intention to develop an automated and adaptable computational platform to efficiently solve a variety of real-world problems.

The group also explores strategies such as multi-agent systems, web semantics and data mining for integrating models and methodologies to trace a path toward intelligent organizations and more personalized systems.

Research lines

Nature-inspired systems
• Knowledge technologies


Hugo Terashima Marín

Core researchers

José Carlos Ortiz Bayliss
Juan Arturo Nolazco
Ramón Felipe Brena Pinero
Santiago Enrique Conant Pablos

Adjunct researchers

Juan Carlos Lavariega Jarquin

Distinguished researcher

Carlos Artemio Coello Coello (CINVESTAV)


External researchers

Edmund K. Burke (University of Stirling)
Ender Özcan (University of Nottingham)
Gabriela Ochoa (University of Stirling)
Héctor Pérez Urbina (Clark and Parsia)
Loannis Kakadiaris (University of Houston)

Postdoctoral researchers

Alejandro Rosales Pérez
Juan Carlos Cuevas Tello

Doctoral students

Abraham Báez Suárez
Alan Israel Torres Nogales
Alejandro Garza Cuéllar
Alejandro Sosa Ascencio
Armando Bernardo Nava Ortiz
Carlos Erick Galván Tejada
Carolina del Valle Soto
Dulce Jaqueline Magaña Lozano
Enrique Alejandro García Ceja
Gustavo Andrés López Hernández
Jorge Alberto Hernández Castro
Jorge Humberto Moreno Scott
José Carlos Carrasco Jiménez
Juan Rubén Delgado Contreras
Manuel de Jesús Rodríguez Mancha
Nelson Iván González Magaña
Ricardo Javier Parra Álvarez
Rubén Anton Aguilar Rivera
Sergio David Villarreal Reyes

Authors Title Publication
Herbert-Acero, J. F., Martínez-Lauranchet, J., Probst, O., Méndez-Díaz, S., Castillo- Villar, K., Valenzuela-Rendón, M. and Réthoré, P. A Hybrid Metaheuristic-Based Approach for the Aerodynamic Optimization of Small Hybrid. Wind Turbine Rotors, Mathematical Problems in Engineering, Vol. 2014, Article ID 746319, 18 pages, 2014. doi:10.1155/2014/746319
López-Camacho, E., Terashima-Marin, H., Ross, P. and Ochoa, G. A Unified Hyper- heuristic Framework for Solving Bin Packing Problems Expert Systems with Applications, Volume 41, Issue 15. 1 November 2014, pp 6876-6889
García-Ceja, E., Brena, R. F., Carrasco-Jiménez, J. C., Garrido, L. Long-term Activity Recognition from Wristwatch Accelerometer Data Sensors 2014, 14, 22500-22524; doi:10.3390/s141222500
Ortiz-Bayliss, J. C., Moreno-Scott, J. H., and Terashima-Marin, H. Automatic Generation of Heuristics for Constraint Satisfaction G. Terrazas et al. (eds.) Nature-inspired Cooperative Strategies for Optimisation (NICSO 2013), Studies in Computational Intelligence 512, 2014, pp315-327, Springer