In light of the reform of the Italian natural gas distribution introduced in 2007, this work performs a benchmarking and productivity analysis of distribution utilities, identifying the characteristics allowing greater efficiency. Using a Data Envelopment Analysis (DEA) and the Malmquist...
01a Articolo in rivista
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Abstract Purpose The purpose of this paper is to address the issue of knowledge visualization and its connection with performance measurement from an epistemological point of view, considering quantification and measurement not just as technical questions but showing their relevant implications on...
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Objectives: We evaluated a monocentric SLE cohort in order to assess the frequency of Lupus comprehensive disease control (LupusCDC), a condition defined by the achievement of remission and the absence of damage progression. Methods: Our longitudinal analysis included SLE patients with 5-years...
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One of the fundamental topics in sports analytics is the science of success, i.e., the study of the correlation between players’ performances and their success. This is a very challenging task especially in the case of team sports, among which football is a prominent example. This paper is...
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The paper is concerned with multiobjective sparse optimization problems, i.e. the problem of simultaneously optimizing several objective functions and where one of these functions is the number of the non-zero components (or the ℓ-norm) of the solution. We propose to deal with the ℓ-norm by means...
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In this paper we consider the classical unconstrained nonlinear multiobjective optimization problem. For such a problem, it is particularly interesting to compute as many points as possible in an effort to approximate the so-called Pareto front. Consequently, to solve the problem we define an “a...
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An implicit filtering algorithm for derivative-free multiobjective optimization with box constraintsThis paper is concerned with the definition of new derivative-free methods for box constrained multiobjective optimization. The method that we propose is a non-trivial extension of the well-known implicit filtering algorithm to the multiobjective case. Global convergence results are stated under...
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In this paper, we present our approach to sports scheduling, a process that led the Italian Volleyball League to adopt our calendar for the 2016-2017 and subsequent seasons. Sports scheduling is a hard combinatorial optimization problem whose solution requires modeling many different aspects of...