Lorenzo Picinali

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This paper proposes an algorithm to solve the CEC2013 benchmark. The algorithm, namely Super-fit Multicriteria Adaptive Differential Evolution (SMADE), is a Memetic Computing approach based on the hybridization of two algorithmic schemes according to a super-fit memetic logic. More specifically, the Covariance Matrix Adaptive Evolution Strategy (CMAES), run(More)
The super-fit scheme, consisting of injecting an individual with high fitness into the initial population of an algorithm, has shown to be a simple and effective way to enhance the algorithmic performance of the population-based algorithm. Whether the super-fit individual is based on some prior knowledge on the optimization problem or is derived from an(More)
Proteins take on their function in the cell by interacting with other proteins or biomolecular complexes. To study this process, computational methods, collectively named protein docking, are used to predict the position and orientation of a protein ligand when it is bound to a protein receptor or enzyme, taking into account chemical or physical criteria.(More)
This paper presents the use of audio and haptic feedbacks to reduce the load of the visual channel in interaction tasks within virtual environments. An examination is made regarding the exploitation of audio and/or haptic cues for the acquisition of a desired target in an environment containing multiple and obscured distractors. This study compares(More)
This paper addresses the use of audio and haptics as a mean to reduce the load of the visual channel in interaction tasks within virtual environments. An examination is made regarding the exploitation of audio and/or haptic interactions for the acquisition of a target of interest in an environment containing multiple and obscured distractors. A first study(More)
This paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a system for deriving musculoskeletal articulation data from disordered utterances, in order to provide training feedback for people with(More)
This paper presents musical and technological aspects of real-time digital audio processing and visual rendering applied to a grand nineteen-century pipe organ. The organ is “augmented” in both its musical range and visual dimensions, thus increasing its potential for expression. The discussed project was presented to a public audience in the form of(More)