Investigación / Research

My research area is related with the application of Evolutionary Algorithms (EAs) to solve optimization problems, such as the Satisfiability Problem (SAT), Quality Assignment Problem (QAP) or others issued from Operations Research fields. EAs are powerful metaheuristic (solving methods for a wide range of problems) to solve complex mathematical problems. They imitate the natural process of evolution, representing candidate solutions as individuals, and objective function as the nature pression for survival. Crossover and mutation, among other specialized improvement operators, are applied to individuals.

Because of the confluence of diverse operators, EAs have many parameters, and their correct setting is a complex problem also. During my PhD studies I developed some techniques to establish an automatic control of those parameters, so the next step is to export these ideas to other metaheuristics, trying to combine them to solve one problem, what is known as Hyperheuristic.

Publicaciones

• 2015: Giacomo di Tollo, Frédéric Lardeux, Jorge Maturana, Frédéric Saubion: An experimental study of adaptive control for evolutionary algorithms. Applied Soft Computing 35: 359-372
• 2014: Maturana, J. , Tampier, G. , Salman Luco, Richard , Serandour, G. Developing Teamwork Skills in First and Second Year Engineering Students. International Journal on Engineering Education
• 2014: Maturana, J. , Díaz, P. , Torres, MC. , Serandour, G. Una herramienta de apoyo a la auto,co, hetero y ecoevaluación. 9th Latin American Conference on Learning Objects and Technologies, LACLO 2014
• 2013: Ochoa X. , Casali A. , Deco C. , Gerling V. , Frango Silveira I. , Fager J. , Carillo G. , Parra G. , Muñoz Arteaga J. , Jorge Maturana , Araya E. , Motz R. Analysis of existing technological platforms for the collaborative production of Open Textbooks. Proceedings EDMedia. World Conference on Educational Multimedia, Hypermedia & Telecommunications Association for the Advancement of Computing in Education (AACE). 1. 1106-1115.
• 2012: N. Veerapen, J. Maturana and F. Saubion, An Exploration-Exploitation Compromise-Based Adaptive Operator Selection for Local Search. Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, USA, July 7-11, 2012.
• 2011: Giacomo Di Tollo, Frédéric Lardeux, Jorge Maturana, Frédéric Saubion, “An Evaluation of Adaptive Control for Evolutionary Algorithms” 10th International Conference on Artificial Evolution (EA-2011). accepted
• 2010: Jorge Maturana, Frédéric Lardeux, Frédéric Saubion, “Autonomous Operator Management for Evolutionary Algorithms”, Journal of Heuristics – Special Issue on Hyper-heuristics in Search and Optimisation, in press.
• 2009: Jorge Maturana, Frédéric Lardeux, Frédéric Saubion, ” Controlling behavioral and structural parameters in Evolutionary Algorithms”, International Conference on Artificial Evolution (EA’2009), October 2009, Strasbourg, France. Article
• 2008: Jorge Maturana, Frédéric Saubion “From parameter control to search control: Parameter Control Abstraction in Evolutionary Algorithms”, Constraint Programming Letters – Special Issue on Autonomous Search, Volume 4. pp 39-65, 2008. Article
• 2007: Jorge Maturana, Frédéric Saubion “On the Design of Adaptive Control Strategies for Evolutionary Algorithms”, Lecture Notes in Computer Science (LNCS), Volume 4926, pp. 303-315, Springer-Verlag. International Conference on Artificial Evolution (EA’2007), October 2007, Tours, France. Article
• 2003: Jorge Maturana, María Cristina Riff “An Evolutionary Algorithm to solve the Short-term Electrical Generation Scheduling Problem”, Proceedings of IEEE International Conference on Evolutionary Computation (CEC’2003), IEEE Neural Networks Society, pp. 1150-1156. Canberra, Australia, December 2003.