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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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Optimal Cycle Program of Traffic Lights

Optimal scheduling of traffic lights, and in particular optimal light cycle programs, is also a crucial task in actual cities with potential benefits in terms of energy consumption, traffic flow management, pedestrian safety, and environmental issues. Unlike new decentralized self-regulated lights, or traditional queue based systems, the use of metaheuristic algorithms to find successful cycle programs of traffic lights is still an open issue.  codif

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