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—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)
—There are some issues with multi–objective estimation of distribution algorithms (MOEDAs) that have been undermining their performance when dealing with problems with many objectives. In this paper we examine the model–building issue related to estimation of distribution algorithms (EDAs) and show that some of their, as yet overlooked, characteristics(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)
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)
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)