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Modelling energy consumption in Spain with metaheuristic methods
Forecasting country-wide energy demand is an important activity for determining and progressing towards an energy secure future. In …
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Un enfoque multi-objetivo para el problema de la máxima diversidad
El problema de la maxima diversidad ha sido ampliamente estudiado desde diferentes perspectivas, haciendo uso de tecnicas exactas y …
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New metaheuristic algorithms for the analysis of the user influence in social networks
The evolution and spread of social networks have attracted the interest of the scientific community in the last few years. …
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Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge.
In this paper we present results for the Blood Glucose Level Prediction Challenge for the Ohio2020 dataset. We have used four variants …
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Artificial Intelligence Applied to the Thermal Characterization of Building Integrated Photovoltaic Technologies
Building Integrated Photovoltaic (BIPV) systems aim not only to generate part of the electricity consumed by the edifice, but also to …
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Evolving energy demand estimation models over macroeconomic indicators
Energy is essential for all countries, since it is in the core of social and economic development. Since the industrial revolution, the …
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Glucose forecasting with random grammatical evolution
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Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution
In this paper we investigate the benefits of applying a multi-objective approach for solving a symbolic regression problem by means of …
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Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results
In the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a …
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A metaheuristic plan for the Inventory Movement Problem
We present a variant of an order-picking problem where the objective function is to minimize the number of movements performed by …
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