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Best paper GECCO-MO track: "Evolutionary Algorithm based on Parallel Coordinates" C. Coello, R. Hernández, E. Alba. 2016


NEO diseña herramientas inteligentes para mejorar la movilidad vial en la ciudad


Best paper award at INCoS'16: Optimal Allocation of Public Parking Slots Using Evolutionary Algorithms


Best paper award at Gecco'16 (EMO): A multi-objective evolutionary algorithm based on parallel coordinates


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Gene Selection of DNA Microarrays

Optimal gene selection in DNA Microarrays is a complex problem proved to be NP-hard. Therefore, we need efficient automated approaches to tackle it. Metaheuristics algorithms have proved to be adequate tools for this matter, since they are capable of solving the feature selection accurately and efficiently for the large dimensions needed in Biology.  codif

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