Mauro Annunziato

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In this paper we show a preliminary work on evolutionary mutation parameters in order to understand whether it is possible or not to skip mutation parameters tuning. In particular, rather than considering mutation parameters as global environmental features, we regard them as endogenous features of the individuals by putting them directly in the genotype.(More)
The problem of identification of flow regimes in processes involving multiphase mixtures (nuclear plant, fluidization, hydrocarbons, chemical reactors) is an open problem for many industrial applications. Generally, different flow regimes induce different performances of the system. Due to the highly non-linear nature of the forces which rule the flow(More)
In this paper we propose a methodology to optimally manage and online control energy flows over a power network. Such a methodology is essentially based on a artificial life environment. Exploiting some results achieved in the field of evolutionary computing and artificial life environments, the proposed method is intended to combine the ability to select(More)
This paper 7 presents the preliminary results of a joint research project about Smart Cities. This project is adopting a multidisciplinary approach that combines artificial intelligence techniques with psychology research to monitor the current state of the city of L'Aquila after the dreadful earthquake of April 2009. This work focuses on the description of(More)
Complex networks like the scale-free model proposed by Barabasi-Albert are observed in many biological systems and the application of this topology to artificial neural network leads to interesting considerations. In this paper, we present a preliminary study on how to evolve neural networks with complex topologies. This approach is utilized in the problem(More)
In most of industrial applications and in the ®elds of scienti®c research phenomena are highly non-linear and/or they have high dimensionality. In such cases a model which describes exactly the phenomenon is very hard to de®ne, but often many simpli®ed models describing the problem's phenomenology in particular conditions are available. The problem of the(More)