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In this paper we explore the model-building issue of multiobjective optimization estimation of distribution algorithms. We argue that model-building has some characteristics that differentiate it from other machine learning tasks. A novel algorithm called multiobjective neural estimation of distribution algorithm (MONEDA) is proposed to meet those(More)
Several parameters of a video-based tracking system, developed for airport surveillance by deploying several cameras, are optimized using Evolution Strategies (ES). For evaluating the performance of the system, an evaluation metric is proposed. The optimization has been carried out using different video sequences in which the tracking system is evaluated(More)
In many cases, a real robot application requires the navigation in dynamic environments. The navigation problem involves two main tasks: to avoid obstacles and to reach a goal. Generally, this problem could be faced considering reactions and sequences of actions. For solving the navigation problem a complete controller, including actions and reactions, is(More)
—In this work we put forward a comprehensive study on the design of global stopping criteria for multi– objective optimization. We describe a novel stopping criterion, denominated MGBM criterion that combines the mutual domination rate (MDR) improvement indicator with a simplified Kalman filter that is used for evidence gathering process. The MDR indicator,(More)
—Hypermedia is a broadly accepted technique to develop educational systems since its hypertext structure reflects a model of learning based on the students' semantic memory model and the use of multimedia provides interactive mechanisms that allow managing, manipulating, and organizing the lessons. A hy-permedia electronic book called CIPP (Curso(More)
A video aircraft identification algorithm, based on the tail number recognition, is proposed as a part of a global airport surveillance video system. The recognition procedure searches and detects the presence of the tail number in the image and then recognises the tail number using pattern matching techniques. The identification system has been designed to(More)