default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID4th NUMTA 2023: Pizzo Calabro, Italy - Part I
- Yaroslav D. Sergeyev
, Dmitri E. Kvasov, Annabella Astorino:
Numerical Computations: Theory and Algorithms - 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14-20, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14476, Springer 2025, ISBN 978-3-031-81240-8
Long Papers
- Konstantin Barkalov, Vladimir A. Grishagin, Evgeny Kozinov:
Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems. 3-18 - Roberto Battiti:
Sequential Decision Modeling for Dynamic Pricing and Revenue Management in Hotels. 19-33 - Antonio Candelieri:
Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback. 34-48 - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning. 49-63 - Askhat I. Diveev, Elizaveta Yu. Shmalko:
Extended Optimal Control Problem for Practical Application. 64-78 - Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Explainable Process Deviance Discovery with Data-Efficient Deep Learning. 79-93 - Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni:
Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. 94-107 - Matteo Magnani, Giorgia Franchini, Mauro Dell'Amico, Luca Zanni:
A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem. 108-120 - Ángeles Martínez, Marco Viola, Mahsa Yousefi:
Combined First- and Second-Order Directions for Deep Neural Networks Training. 121-135 - Vladimir I. Norkin, Alois Pichler, Anton Kozyriev:
Constrained Global Optimization by Smoothing. 136-150 - Andrea Ponti, Francesco Archetti:
The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms. 151-164 - Bruno Silva, Luiz Guerreiro Lopes:
An Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation Systems. 165-181 - Bruno Silva, Luiz Guerreiro Lopes:
GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large Systems of Nonlinear Equations. 182-196 - Annalisa Socievole, Clara Pizzuti:
Effective Resistance Based Community Detection in Complex Networks. 197-209 - Renan Spencer Trindade, Claudia D'Ambrosio:
A Comparison of Formulations for Aircraft Deconfliction. 210-225 - Aleksey O. Zakharov:
Optimal Recombination Problem in Genetic Programming for Boolean Functions. 226-240 - Yulia V. Zakharova, Maria Yu. Sakhno:
Heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization. 241-256 - Aleksandra A. Zhukova, Anna Flerova, Alexey Chernov:
Numerical Analysis of Optimal Control of Assets and Liabilities by a Bank. 257-269
Short Papers
- Andranik S. Akopov, Armen L. Beklaryan:
Optimal Control for Stochastic Multi-agent Systems With the Use of Parallel Hybrid Genetic Algorithm. 273-280 - Annabella Astorino, Massimo Di Francesco, Manlio Gaudioso, Enrico Gorgone, Benedetto Manca:
DC Optimization in Adversarial Sparse Support Vector Machine. 281-289 - David Barilla, Giuseppe Caristi, Nader Kanzi, Zahra Jafariani:
A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP). 290-295 - Lucia Cavallaro, Tommaso Serafin, Antonio Liotta:
Miniaturisation of Binary Classifiers Through Sparse Neural Networks. 296-303 - Marco Corazza, Giovanni Fasano:
Price Forecasting for Bitcoin: Linear Regression and SVM Approaches. 304-311 - Elif Garajová, Milan Hladík:
Inside the Box: 0-1 Linear Programming Under Interval Uncertainty. 312-319 - Giovanni Giallombardo, Giovanna Miglionico, Marcello Sammarra:
Machine Learning Techniques for Branch-and-Cut Methods: The Selection of Cutting Planes. 320-327 - Dmitry Karamzin:
The Critical Cone and Second-Order Optimality Conditions for a State-Constrained Optimal Control Problem. 328-335 - Dmitri E. Kvasov, Vladimir A. Grishagin:
Local Information in Global Optimization with Dimensionality Reduction Schemes. 336-342 - Sara Mallah, Oualid Kamach, Malek Masmoudi, Ahmed Chebak:
A Heuristic Solution Approach for Bulk Port Routing Optimization. 343-350 - Marina A. Matos, Rui Gonçalves, Ana Maria A. C. Rocha, Lino A. Costa, Filipe Pereira Alvelos:
A Genetic Algorithm to Optimize the Dispatch of Firefighting Resources. 351-359 - Elena Morotti, Davide Evangelista, Elena Loli Piccolomini:
Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing. 360-367 - Thi Tuyet Trinh Nguyen, Hoai An Le Thi:
A DCA-Like Based Algorithm for the Merkle Tree Construction Problem in Ethereum Cryptocurrency System. 368-375 - Aleksandar Poleksic:
Optimization in Hyperbolic Space - Applications to Drug-Target Interaction Prediction. 376-382 - Elizaveta Yu. Shmalko, Igor Prokopiev, Askhat I. Diveev, Konstantin Yamshanov:
Improving Feasibility of Optimal Control via Obtaining High-Precision Model. 383-390 - Ider Tseveendorj:
Dimensionality Reduction for Quadratic Convex Maximization. 391-399 - Yulia V. Zakharova:
Population Local Search for Single Processor Energy Efficient Scheduling Problem. 400-408
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-15 00:05 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
