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Global Optimization Laboratory "Gerardo Poggiali"

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Ingegneria Informatica (triennale)

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

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

Advanced memetic algorithms for clustering

This topic is related to a paper we recently published on this subject: P. Mansueto and F. Schoen, “Memetic differential evolution methods for clustering problems“, Pattern Recognition, 114, 2021. The idea is to extend those methods and experiment with different

Pierluigi Mansueto October 4, 2021December 10, 2022 Theses: discussed Read more

Open Day Engineering School

GOL will participate to the virtual open day of the Engineering School of Università degli Studi di Firenze Connect February 18th, 2021, at 17:00 CET at https://meet.google.com/jaq-hkkd-ugs Info: Virtual meeting: an introduction to the research activities at the Global Optimization

Fabio Schoen February 9, 2021February 13, 2021 Fabio Schoen personal blog, Latest news from the lab Read more

Optimal decision trees

Based on a paper by D. Bertsimas, we experimented on discrete optimization algorithms for the optimal training of a decision tree. Assigned: July 2018, discussed December 2018 Student: Francesca Del Lungo  

Fabio Schoen September 21, 2018December 31, 2018 Theses: discussed Read more

Scheduling staff in an hospital ward

This thesis dealt with developing an optimization algorithm for health care staff planning, based on a real ward requirements. Required skills: linear programming, possibly python, Java or C++ Student: Giulia Forasassi (based on an initial model prepared by Ayca Sarikaya,

Fabio Schoen September 21, 2018September 29, 2021 Theses: discussed Read more

Predicting drug consumption

Hospital wards are faced with day-to-day necessity to accurately forecast the consumption of drugs in order not to under stock nor to have too large inventories. This thesis explores the capabilities of some time series and some machine learning tools

Fabio Schoen February 9, 2018February 21, 2018 Theses: discussed Read more

Optimization of pattern identification in RNA

    Starting from the paper “A novel method for the identification of conserved structural patterns in RNA: From small scale to high-throughput applications”, by Marco Pietrosanto, Eugenio Mattei, Manuela Helmer-Citterich,Fabrizio Ferrè, Nucleic Acids Research, 2016 1, doi: 10.1093/nar/gkw750, we wish to explore

Fabio Schoen July 10, 2017October 2, 2019 Uncategorized Read more

Data mining on students careers

We have got some data on students’ careers in the Engineerring school. We would like to apply some machine learning technique to find useful information inside. E.g., which part of the pre-admission test is correlated with the career? How to

Fabio Schoen April 4, 2017February 2, 2018 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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