Prof. Gianni Fasano, Docente di Ottimizzazione e Ricerca Operativa dell'Univ. di Venezia "Ca' Foscari" 

Prof. Stefano Lucidi, Docente di Ottimizzazione dell'Univ. di Roma "Sapienza"

Dr. Sara Mattia, Ricercatrice dello IASI, Consiglio Nazionale delle Ricerche

Prof. Laura Palagi, Docente di Ottimizzazione e Data Science dell'Univ. di Roma "Sapienza"

Prof. Veronica Piccialli, Docente di Ottimizzazione e Machine Learning dell'Univ. di Roma "Tor Vergata" 

Prof. Francesco Rinaldi, Docente di Ottimizzazione e Ricerca Operativa dell?univ. di Padova

Prof. Massimo Roma, Docente di Ricerca Operativa e Sistemi di Servizio e Simulazione dell'Univ. di Roma "Sapienza"

Prof. Simone Sagratella, Docente di Ricerca Operativa e Giochi ed Equilibri dell'Univ. di Roma "Sapienza"

Prof. Marco Sciandrone, Docente di Ottimizzazione e Ricerca Operativa dell'Univ. di Firenze

Prof. Klaus Truemper, Professore Emerito di Computer Science presso la Univ. of Texas at Dallas

Prof. Hans D. Mittelmann, Professor at the School of Mathematical and Statistical Sciences of Arizona State University

Prof. Juliane Mueller, manager of the Artificial Intelligence, Learning, and Intelligent Systems (ALIS) group within the Computational Science Center at The National Renewable Energy Laboratory (NREL)

Prof. Dominique Orban, Professore associato presso il Politecnico di Montreal (CA) e ricercatore al GERAD

DFL - A Derivative-Free Library. A software library of derivative-free optimization algorithms. It is the result of a long lasting relationship between some prestigious italian research institutions and universities (CNR, Padova, Ca' Foscari, Firenze, Sapienza, Tor Vergata). All of the available software packages are released under the terms and at the conditions of the GNU General Public License. 

NOMAD - A blackbox optimization software. A C++ implementation of the Mesh Adaptive Direct Search algorithm (MADS), designed for difficult blackbox optimization problems. These problems occur when the functions defining the objective and constraints are the result of costly computer simulations.  https://www.gerad.ca/nomad/

BFO - Brute Force Optimizer. A trainable derivative-free solver for mixed integer bound-constrained optimization.

CUTEst - a Constrained and Unconstrained Testing Environment on steroids. It is the latest evolution of CUTE, the constrained and unconstrained testing environment for numerical optimization.

NEOS - Network Enabled Optimization Service. The NEOS Server is a free internet-based service for solving numerical optimization problems. Hosted by the Wisconsin Institute for Discovery at the University of Wisconsin in Madison, the NEOS Server provides access to more than 60 state-of-the-art solvers in more than a dozen optimization categories.

JULIA - The Julia langiage, a fresh approach to technical computing

JULIAOPT - Optimization packages for the julia language

PYTHON - Python is a programming language that lets you work quickly and integrate systems more effectively

PYOMO - a Python-based, open-source optimization modeling language with a diverse set of optimization capabilities

PYMOO - a Multi-objective Optimization framework in Python  that offers state of the art single- and multi-objective optimization algorithms 

SCIKIT-LEARN - Machine learning in Python, simple and efficient tools for predictive data analysis