ABOUT THE PROJECT
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.
• Nature-inspired systems
• Context Intelligence
Hugo Terashima Marín
José Carlos Ortiz Bayliss
Juan Arturo Nolazco Flores
Ramón Felipe Brena Pinero
Santiago Enrique Conant Pablos
Alejandro Rosales Pérez
Andrés Eduardo Gutiérrez Rodríguez
Carlos Alberto Coello Coello
Francisco Javier Cantú Ortiz
Frumencio Olivas Alvarez
Héctor Gibrán Ceballos Cancino
Ivan Mauricio Amaya Contreras
Nimrod González Franco
|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|