Zobrazeno 1 - 10
of 1 795
pro vyhledávání: '"A. Frangioni"'
Although nearly 20 years have passed since its conception, the feasibility pump algorithm remains a widely used heuristic to find feasible primal solutions to mixed-integer linear problems. Many extensions of the initial algorithm have been proposed.
Externí odkaz:
http://arxiv.org/abs/2411.03535
Publikováno v:
Journal of Industrial Engineering International, Vol 14, Iss 4, Pp 665-676 (2018)
Abstract This paper addresses a drayage problem, which is motivated by the case study of a real carrier. Its trucks carry one or two containers from a port to importers and from exporters to the port. Since up to four customers can be served in each
Externí odkaz:
https://doaj.org/article/242bcb9f50214ab2a274cf4234f11be0
Publikováno v:
In: Pardalos, P.M., Prokopyev, O.A. (eds) Encyclopedia of Optimization. Springer, Cham. (2023)
The field of algorithmic optimization has significantly advanced with the development of methods for the automatic configuration of algorithmic parameters. This article delves into the Algorithm Configuration Problem, focused on optimizing parametriz
Externí odkaz:
http://arxiv.org/abs/2403.00898
We discuss the issue of finding a good mathematical programming solver configuration for a particular instance of a given problem, and we propose a two-phase approach to solve it. In the first phase we learn the relationships between the instance, th
Externí odkaz:
http://arxiv.org/abs/2401.05041
We propose a methodology, based on machine learning and optimization, for selecting a solver configuration for a given instance. First, we employ a set of solved instances and configurations in order to learn a performance function of the solver. Sec
Externí odkaz:
http://arxiv.org/abs/2401.04237
In recent years, the integration of Machine Learning (ML) models with Operation Research (OR) tools has gained popularity across diverse applications, including cancer treatment, algorithmic configuration, and chemical process optimization. In this d
Externí odkaz:
http://arxiv.org/abs/2307.07457
Autor:
Cacciola, Matteo, Frangioni, Antonio, Asgharian, Masoud, Ghaffari, Alireza, Nia, Vahid Partovi
Deep learning models are dominating almost all artificial intelligence tasks such as vision, text, and speech processing. Stochastic Gradient Descent (SGD) is the main tool for training such models, where the computations are usually performed in sin
Externí odkaz:
http://arxiv.org/abs/2301.01651
Our study is motivated by the solution of Mixed-Integer Non-Linear Programming (MINLP) problems with separable non-convex functions via the Sequential Convex MINLP technique, an iterative method whose main characteristic is that of solving, for bound
Externí odkaz:
http://arxiv.org/abs/2211.15450
In Machine Learning, Artificial Neural Networks (ANNs) are a very powerful tool, broadly used in many applications. Often, the selected (deep) architectures include many layers, and therefore a large amount of parameters, which makes training, storag
Externí odkaz:
http://arxiv.org/abs/2206.14056
Autor:
Pregnolato, Sandro, Corradi, Francesco, Dazzi, Federico, Tempini, Sara, Isirdi, Alessandro, Federico, Moro, Giovane, Nicole, Vason, Milo, Volta, Carlo Alberto, Robertis, Edoardo De, Gori, Fabio, Simonte, Rachele, Neri, Michela, Caraffa, Auro, Cosco, Giovanni, Vadalà, Eugenio, Labate, Demetrio, Polimeni, Nicola, Napolitano, Marilena, Macheda, Sebastiano, Corea, Angela, Lentin, Lucia, Divella, Michele, Orso, Daniele, Zaghis, Clara, Rio, Silvia Del, Tomasino, Serena, Brussa, Alessandro, D’Andrea, Natascia, Bressan, Simone, Bellini, Valentina, Neri, Giuseppe, Giammanco, Pietro, Galvano, Alberto Nicolò, Ippolito, Mariachiara, Ricci, Fabrizio, Stefani, Francesca, Fasoli, Lolita, Fasano, Nicola, Batticci, Irene, Bresil, Piergiorgio, Curto, Federica, Pirazzoli, Lorenzo, Frangioni, Carlo, Puppo, Mattia, Mussetta, Sabrina, Autelli, Michele, Giglio, Giuseppe, Riccone, Filippo, Taddei, Erika, Vetrugno, Luigi ⁎, Boero, Enrico, Berchialla, Paola, Forfori, Francesco, Bernardinetti, Mattia, Spadaro, Savino, Cammarota, Gianmaria, Bruni, Andrea, Garofalo, Eugenio, Tescione, Marco, Deana, Cristian, Federici, Nicola, Mattuzzi, Lisa, Meroi, Francesco, Flaibani, Luca, Cortegiani, Andrea, Longhini, Federico, Cavarape, Alessandro, Biasucci, Daniele Guerino, D’Incà, Stefano, Pesamosca, Anna, Cattarossi, Agnese, Granzotti, Saskia, D’Orlando, Loris, Urso, Felice, Colombotto, Camilla, Tuinman, Pieter Roel, De Robertis, Edoardo, Livigni, Sergio, Maggiore, Salvatore Maurizio, Ranieri, Vito Marco, Bignami, Elena Giovanna
Publikováno v:
In Anaesthesia Critical Care & Pain Medicine December 2024 43(6)