Search results for "evolutionary"
showing 10 items of 4392 documents
Deep-seated gravitational slope deformations in western Sicily: Controlling factors, triggering mechanisms, and morphoevolutionary models
2014
Abstract A study of deep-seated gravitational slope deformation (DSGSD) phenomena affecting areas of various geological and geomorphological settings in western Sicily is described. Western Sicily is underlain by a thin-skinned imbricate wedge of Meso–Cenozoic carbonate and siliciclastic rocks that formed by the stacking of several thrust nappes over the Iblean foreland. Locally, the original thrust sheets are folded and cut by high-angle faults. Large areas of western Sicily now display high relief energy due to Plio-Pleistocene block-faulting and uplifting, and the Quaternary morphogenetic phases are characterised by incision, thereby triggering widespread DSGSDs. To identify controlling …
A memetic approach to discrete tomography from noisy projections
2010
Discrete tomography deals with the reconstruction of images from very few projections, which is, in the general case, an NP-hard problem. This paper describes a new memetic reconstruction algorithm. It generates a set of initial images by network flows, related to two of the input projections, and lets them evolve towards a possible solution, by using crossover and mutation. Switch and compactness operators improve the quality of the reconstructed images during each generation, while the selection of the best images addresses the evolution to an optimal result. One of the most important issues in discrete tomography is known as the stability problem and it is tackled here, in the case of no…
Application to an italian distribution system of a multiobjective optimal Volt/VAR control strategy: improvements and management problems
2007
In this paper, the experiences and results deriving from the application of a multiobjective optimal management strategy to a distribution network supplying an area in province of Palermo, Italy, are presented. The adopted strategy allows, through the interventions on the Under Load Tap Changers (ULTC) of the primary substations and on tie-switches, to reduce power losses and improve the voltage profiles. To solve the optimization problem, an evolutionary approach has been adopted; it employs fuzzy logic for an adequate and simultaneous fulfilment of the different objectives. The application section presents a deep technical and economical analysis of the results attained, applying the opti…
Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos
2019
This paper proposes a deep convolutional neural network (CNN) for pedestrian tracking in 360◦ videos based on the target’s motion. The tracking algorithm takes advantage of a virtual Pan-Tilt-Zoom (vPTZ) camera simulated by means of the 360◦ video. The CNN takes in input a motion image, i.e. the difference of two images taken by using the vPTZ camera at different times by the same pan, tilt and zoom parameters. The CNN predicts the vPTZ camera parameter adjustments required to keep the target at the center of the vPTZ camera view. Experiments on a publicly available dataset performed in cross-validation demonstrate that the learned motion model generalizes, and that the proposed tracking algo…
Real-Time Visual Grasp Synthesis Using Genetic Algorithms and Neural Networks
2007
This paper addresses the problem of automatic grasp synthesis of unknown planar objects. In other words, we must compute points on the object’s boundary to be reached by the robotic fingers such that the resulting grasp, among infinite possibilities, optimizes some given criteria. Objects to be grasped are represented as superellipses, a family of deformable 2D parametric functions. They can model a large variety of shapes occurring often in practice by changing a small number of parameters. The space of possible grasp configurations is analyzed using genetic algorithms. Several quality criteria from existing literature together with kinematical and mechanical considerations are considered.…
Un'architettura robotica per l'honest signalling nell'interazione uomo-umanoide
2017
Questo contributo descrive l’architettura di un sistema di rilevazione e classificazione integrato con robot umanoidi per specificare una classe di segnali biologicamente rilevanti che contribuiscono a rendere l’interazione con l’uomo naturale e affidabile. Si presenterà inizialmente la teoria biologica dell’honest signalling e quindi la sua estensione nella sociometrics. Infine, si illustreranno i moduli dell’architettura progettata come genera- trice di modelli di percezione sociale testabili per una classe delimitata di segnali sociali. This paper describes the architecture of a detection and classification humanoid integrated system, which is designed to specify one class of biologicall…
Evaluating Correlations in IoT Sensors for Smart Buildings
2021
International audience; In this paper we introduce a dataset of environmental information obtained via indoor and outdoor sensors deployed in the SMART Infrastructure Facility of the University of Wollongong (Australia). The acquired dataset is also made open-sourced along with this paper. We also propose a novel approach based on an evolutionary algorithm to determine pairs of correlated sensors. We compare our approach with three other standard techniques on the same dataset: on average, the accuracy of the evolutionary method is about 62,92%. We also evaluate the computational time, assessing the suitability of the proposed pipeline for real-time applications.
Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results
2009
Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a time consuming procedure and the obtained dissimilarity results is not a metric. Recently, the normalised compression distance was introduced as a method to calculate the distance between two generic digital objects and it seems a suitable way to compare genomic strings. In this paper, the clustering and the non-linear mapping obtained using the evolutionary distance and the compression distance are compared, in order to understand if the two distances sets are similar.
Hunter-GatHerer Game: uno strumento simulativo dei comportamenti di caccia/raccolta nel mondo paleolitico
2013
In this paper we present the Hunter-Gatherer Game, a computer simulation of an environment where the individual and group survival depends on the ability to capture a prey or to find edible vegetables. The instrument is based on the Darwinian Hunter-Gatherer Theory stating that, during the Palaeolithic age, natural selection designed different gender preferences for foraging strategies (hunting in men and gathering in women), which are still sculpted in our modern brains. At present we are using the Hunter-Gatherer Game in order to experimentally test the above-mentioned theory, even though it also encompasses a number of potential applications.
Phenotypic Aspects of Longevity
2019
Centenarians are individuals who live over the average life span characteristic of their population. The growing number of old people worldwide makes it necessary to identify a good strategy to reach healthy ageing and avoid or delay age-related diseases. The longevity phenotype is the result of a positive combination between genetic, epigenetic, stochastic and lifestyle factors. So, the analysis of all the known parameters that can influence these single elements or their interaction can give new possible elements to delineate a sort of longevity signature. Starting from the easiest biomarkers as the haematochemical values and reaching the study of molecular and cellular components, as the…