Giovanni Fasano

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 18

Top Topics

Conjugate Gradient

Unconstrained Optimization Problems

Constrained Optimization

Particle Swarm Optimization

Top Venues

J. Optim. Theory Appl.

Comput. Optim. Appl.

Ann. Oper. Res.

Publications

Andrea Caliciotti, Marco Corazza, Giovanni Fasano
From regression models to machine learning approaches for long term Bitcoin price forecast. Ann. Oper. Res. 336 (1-2) (2024)
Cecilia Leotardi, Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+. Appl. Soft Comput. 104 (2021)
Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti
A novel hybrid PSO-based metaheuristic for costly portfolio selection problems. Ann. Oper. Res. 304 (1) (2021)
Giovanni Fasano, Raffaele Pesenti
Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances. J. Comput. Appl. Math. 390 (2021)
Andrea Caliciotti, Giovanni Fasano, Florian A. Potra, Massimo Roma
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation. Comput. Optim. Appl. 77 (3) (2020)
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. SIAM J. Optim. 30 (3) (2020)
Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. J. Optim. Theory Appl. 186 (2) (2020)
Andrea Caliciotti, Giovanni Fasano, Stephen G. Nash, Massimo Roma
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. Oper. Res. Lett. 46 (1) (2018)
Renato De Leone, Giovanni Fasano, Yaroslav D. Sergeyev
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming. Comput. Optim. Appl. 71 (1) (2018)
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. Appl. Math. Comput. 318 (2018)
Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. LION (2018)
Giovanni Fasano, Raffaele Pesenti
Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces. J. Optim. Theory Appl. 175 (3) (2017)
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. Optim. Lett. 11 (4) (2017)
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Exploiting damped techniques for nonlinear conjugate gradient methods. Math. Methods Oper. Res. 86 (3) (2017)
Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Giovanni Fasano, Matteo Diez
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems. Appl. Soft Comput. 49 (2016)
Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+. ICSI (1) (2016)
Giovanni Fasano, Massimo Roma
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. Comput. Optim. Appl. 65 (2) (2016)
Giovanni Fasano
A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization. J. Optim. Theory Appl. 164 (3) (2015)
Giovanni Fasano, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization. SIAM J. Optim. 24 (3) (2014)
Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove
A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. ICSI (1) (2014)
Emilio Fortunato Campana, Matteo Diez, Giovanni Fasano, Daniele Peri
Initial Particles Position for PSO, in Bound Constrained Optimization. ICSI (1) (2013)
Marco Corazza, Giovanni Fasano, Riccardo Gusso
Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem. Appl. Math. Comput. 224 (2013)
Giovanni Fasano, Massimo Roma
Preconditioning Newton-Krylov methods in nonconvex large scale optimization. Comput. Optim. Appl. 56 (2) (2013)
Emilio Fortunato Campana, Giovanni Fasano, Antonio Pinto
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization. J. Glob. Optim. 48 (3) (2010)
Giovanni Fasano, José Luis Morales, Jorge Nocedal
On the geometry phase in model-based algorithms for derivative-free optimization. Optim. Methods Softw. 24 (1) (2009)
Giovanni Fasano, Stefano Lucidi
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization. Optim. Lett. 3 (4) (2009)
Giovanni Fasano, Massimo Roma
Iterative computation of negative curvature directions in large scale optimization. Comput. Optim. Appl. 38 (1) (2007)
Giovanni Fasano, Francesco Lampariello, Marco Sciandrone
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. Comput. Optim. Appl. 34 (3) (2006)
Giovanni Fasano
Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks. Optim. Methods Softw. 19 (3-4) (2004)