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Global Optimization Laboratory "Gerardo Poggiali"

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Month: July 2015

GOL Lab is a finalist in the international nurse scheduling competition

INRC-II The Second International Nurse Rostering Competition Finalists The finalists  of the competition (with no particular order) are: […] LabGOL, Federica Picca Nicolino, Francesco Bagattini, Luca Bravi, Niccolò Bulgarini, Alessandro Galligari, Fabio Schoen, Università degli Studi di Firenze, Italy

Fabio Schoen July 24, 2015July 24, 2015 Uncategorized Read more

Prescriptive analytics

Machine learning is a powerful tool to extract relevant information and make prediction based on observed data; optimization is frequently used to find optimal decisions in complex environments. The thesis will be based on some algorithmic framework in which the

Fabio Schoen July 17, 2015February 16, 2017 Theses: discussed Read more

Research Engineer position in Florence (Italy)

Research Engineer in Florence, Italy  Fleetmatics has an immediate need for a Research Engineer to facilitate the design and development of our award winning web application suite. This role will be responsible for the in-house research and development of both

Fabio Schoen July 17, 2015July 17, 2015 Uncategorized 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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