Giovanni Fasano

Orcid: 0000-0003-4721-8114

According to our database1, Giovanni Fasano authored at least 31 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
From regression models to machine learning approaches for long term Bitcoin price forecast.
Ann. Oper. Res., May, 2024

2021
Polarity and conjugacy for quadratic hypersurfaces: A unified framework with recent advances.
J. Comput. Appl. Math., 2021

Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+.
Appl. Soft Comput., 2021

A novel hybrid PSO-based metaheuristic for costly portfolio selection problems.
Ann. Oper. Res., 2021

2020
A PSO-Based Framework for Nonsmooth Portfolio Selection Problems.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization.
SIAM J. Optim., 2020

Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization.
J. Optim. Theory Appl., 2020

Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation.
Comput. Optim. Appl., 2020

2018
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization.
Oper. Res. Lett., 2018

Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming.
Comput. Optim. Appl., 2018

Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation.
Appl. Math. Comput., 2018

How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods.
Optim. Lett., 2017

Exploiting damped techniques for nonlinear conjugate gradient methods.
Math. Methods Oper. Res., 2017

Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces.
J. Optim. Theory Appl., 2017

2016
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization.
Comput. Optim. Appl., 2016

Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems.
Appl. Soft Comput., 2016

Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

2015
Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

A Framework of Conjugate Direction Methods for Symmetric Linear Systems in Optimization.
J. Optim. Theory Appl., 2015

2014
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization.
SIAM J. Optim., 2014

A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013
Preconditioning Newton-Krylov methods in nonconvex large scale optimization.
Comput. Optim. Appl., 2013

Particle Swarm Optimization with non-smooth penalty reformulation, for a complex portfolio selection problem.
Appl. Math. Comput., 2013

Initial Particles Position for PSO, in Bound Constrained Optimization.
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

2010
Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization.
J. Glob. Optim., 2010

2009
On the geometry phase in model-based algorithms for derivative-free optimization.
Optim. Methods Softw., 2009

A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization.
Optim. Lett., 2009

2007
Iterative computation of negative curvature directions in large scale optimization.
Comput. Optim. Appl., 2007

2006
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems.
Comput. Optim. Appl., 2006

2004
Conjugate gradient (CG)-type method for the solution of Newton's equation within optimization frameworks.
Optim. Methods Softw., 2004


  Loading...