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I am comparing different machine learning techniques for learning dynamical systems (e.g. a system of ordinary differential equations), and so far I've used Long-Short-Term Memory Networks (LSTM)...
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Imagine you have a sequence of models, for example each one being an equation (or a system of equations): they are connected to each other so that the outputs of a model are used as inputs for one...
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In regular EAs, a stopping criteria often used in practice is stagnation: if the fitness value of the best individual in the population does not improve for a given number of generations, the...
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I was wondering whether there are studies on problems that present solutions composed by a permutation of elements and some non-combinatorial part, such as a set of real values, where both parts...
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