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Global Optimization Laboratory "Gerardo Poggiali"

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Author: Matteo Lapucci

Thesis Proposals (M. Lapucci)

There are currently several thesis topics available. Students potentially interested are encouraged to contact me and arrange a meeting (in person or online) to discuss possible theses. A (not exhaustive) list of subjects covered in these theses is given here

Matteo Lapucci March 9, 2023March 9, 2023 Theses: proposals Read more

2022 Summer – Two International Events Organized by GOL

The Global Optimization Laboratory is organizing two international scientific events that are taking place this summer. AIRO, the Italian Operations Research Society, entrusted the organization of the 2022 edition of the International Conference on Optimization and Decision Science (ODS) to

Matteo Lapucci April 1, 2022April 1, 2022 Latest news from the lab Read more

Memetic Algorithms for Standard Quadratic Programming Problems

Standard Quadratic Optimization problems are an important family of problems with a large number of applications in finance, decision science, graphs algorithms, etc.For these nonconvex problems, we are interested in finding global optima; however, exact global optimization algorithms hardly scale

Matteo Lapucci October 4, 2021December 10, 2022 Theses: discussed Read more

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Recent News from the Lab

  • 2022 Summer – Two International Events Organized by GOL

  • Optimization Models

  • Master Thesis Proposals / Information Engineering & Artificial Intelligence, Management Engineering et al.

  • Open Day Engineering School

  • Introduction to Operations Research

Theses (proposals)

  • Machine Learning & Optimization for Cancer Research

  • Global Optimization methods based on Clustering, Populations, Random Projections

  • Experiments in quantum computing and optimization

  • On the combination of Clustering and Multi-Objective Approaches

  • Hybrid machine learning / simulation methods

COVID-19 emergency

  • Crowded Zone – a Web App for social-distancing

  • Personnel scheduling in health care

  • Covering and localization problems

  • folding@home – GPU sharing initiative to fight the virus

  • Shift planning for emergency

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