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Global Optimization Laboratory "Gerardo Poggiali"

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Month: June 2018

Three of our new putative optima for sphere packing have been published

The www.packomania.com site has certified that 3 (out of our 5 submissions) of new putative optima are indeed improvements. The other two had already been discovered but not yet published. From the official web site  for sphere packing: 29-Jun-2018: Three

Fabio Schoen June 29, 2018June 29, 2018 Fabio Schoen personal blog, Latest news from the lab Read more

Machine learning applied to soccer

On June 10th, 2018, Repubblica has published a short news on an interesting application of Artificial Intelligence to soccer developed in our lab.

Fabio Schoen June 11, 2018 Fabio Schoen personal blog, Latest news from the lab, Uncategorized Read more

New results in sphere packing

We are performing experiments with a  new global optimization algorithm based on clustering. While experimenting on the  sphere packing problem (the problem of placing N identical, non overlapping, spheres of maximum radius inside the unit cube) we discovered  5 new

Fabio Schoen June 4, 2018 Fabio Schoen personal blog, Latest news from the lab Read more

Machine learning, Optimization, Management

Today my master course on “Models and Algorithms for Organization and Management” has finished. I have had a very good class, with quite a lot of students – it has been a great satisfaction for me. But, differently from previous

Fabio Schoen June 4, 2018 Fabio Schoen personal blog 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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