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Global Optimization Laboratory "Gerardo Poggiali"

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Ingegneria Informatica (magistrale)

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

Machine Learning & Optimization for Cancer Research

Machine Learning & Optimization for Cancer Research

This post contains several thesis proposals, all connected with an ambitious research project we have recently been assigned through a 5-year grant obtained from AIRC, the Italian Association for Cancer Research. Possible thesis topics include: How to deal with missing

Fabio Schoen December 10, 2021December 10, 2021 Theses: proposals Read more

Global Optimization methods based on Clustering, Populations, Random Projections

Global Optimization methods based on Clustering, Populations, Random Projections

We recently published a paper on GO methods based on Differential Evolution. We would like to perform more experiments and possibly extend the methods in several directions: experimenting with different dimensionality reduction techniques, apply to a large set of test

Fabio Schoen November 3, 2021December 10, 2021 Theses: proposals Read more

Experiments in quantum computing and optimization

In this thesis we would like to make a few experiments on available quantum computers. We might wish to get a try to qiskit, an open source SDK for working with quantum computers. The objective will be that of implementing

Fabio Schoen October 7, 2021October 7, 2021 Theses: proposals Read more

On the combination of Clustering and Multi-Objective Approaches

This proposal regards two relevant themes of Artificial Intelligence and Optimization Research: clustering and multi-objective optimization. Multi-objective optimization problems have a significant relevance in many applications of various fields, such as engineering, management, statistics, space exploration, etc…On the other side,

Pierluigi Mansueto October 4, 2021October 4, 2021 Theses: proposals 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

Hybrid machine learning / simulation methods

Within a recent industrial collaboration we have been asked to develop a machine learning model for estimation problems in a mechanical device. For the same device, a model-based simulator is also available. In this thesis we would like to explore

Pierluigi Mansueto October 4, 2021October 4, 2021 Theses: proposals Read more

Heuristic approaches for airport personnel shift scheduling

While in a recent thesis we considered exact methods for large scale personnel scheduling problems, in this thesis we would like to explore heuristic strategies. This thesis might be adapt also for a Management Engineering student, provided she/he possess some

Pierluigi Mansueto October 4, 2021October 4, 2021 Theses: proposals Read more

Hyperparameter optimization in machine learning via black-box global optimization

This topic deals with the application of advanced GO methods to optimally choose hyperparameters in machine learning training. The idea is to use GO methods to find good hyperparameters based on a small set of trials, each consisting in chosing

Pierluigi Mansueto October 4, 2021October 4, 2021 Theses: proposals Read more

Advanced Global Optimization algorithms based on Clustering and Random Projections

This topic is related to a recently published paper: F. Schoen and L. Tigli, “Efficient large scale global optimization through clustering-based population methods“, Computers & Operations Research, 127, 2021. We wish to extend those methods to large dimension by suitable

Pierluigi Mansueto October 4, 2021October 4, 2021 Theses: proposals 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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