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Global Optimization Laboratory "Gerardo Poggiali"

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Theses: discussed

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

Exact optimization models for airport personnel scheduling

Student: Giulia Pellegrini (December 2021) In this thesis we explored the power and the limits of exact optimization models for large personnel scheduling problems. Scheduling at airports has the additional complication, with respect to other personnel scheduling problems, that shifts

Fabio Schoen September 30, 2021June 15, 2022 Theses: discussed Read more

Machine learning techniques for attributes extraction in apparel images

Student: Francesca Del Lungo, 2021. This thesis was developed during a stage at Intuendi srl, Florence Clothing classification algorithms often face several challenges. First of all,clothing items often have many variations in style, texture and cutting. Second, clothing attributes are

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

Optimization methods for risk scores learning

Student: Luca Ciabini, 2021 Risk scores are classification models that predict the risk of an event using a value defined by the sum of a few integers. They are particularly interesting as they are easy to learn, to use, to

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

Machine learning models for sports betting on professional Tennis

Student: Lorenzo Amato, graduated: 2021

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

Image Captioning road scenes: a multitask deep learning approach

Student: Niccolò Bellaccini, 2020. Thesis developed partially during a stage at Verizon Connect Research Italy, Florence Image Captioning tackles the problem of generating textual descriptionsfrom pictures, and thus lies in the intersection of the Computer Vision (CV)and Natural Language Processing

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

Efficient algorithms based on optimal decision trees for transparent machine learning

Student: Tommaso Aldinucci In recent years the world of machine learning has been revolutionized by the “explosion” of models based on deep neural networks. Such models have proved to be really performing and able to face even very complex tasks.

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

A Lightweight Deep Machine Learning Model for Vehicle View-point Estimation from Dash-cam Images

This thesis was partially developed at Verizon Connect Research Italy, in Florence. Student: Simone Magistri. Vehicle pose estimation from vehicle cameras is a crucial component of road scene understanding. In this thesis we propose a deep light-weight method to predict

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

Advanced optimization methods for clustering

K-means is one out of a bunch of  widely used  clustering techniques. In this thesis, we plan to experiment with global optimization algorithms which use K-means as a local optimization solver Candidate: Pierluigi Mansueto From this thesis a paper was

Fabio Schoen October 2, 2019September 29, 2021 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)

  • Thesis Proposals (M. Lapucci)

  • 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

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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