AMUO Advances in Multiobjective Optimization Invited Session Time Slot: Tuesday Afternoon Room: AUD_B Chair: Pierluigi Mansueto Multi-objective simulation-based optimization using a machine learning-based mathematical programming model Time: 16:30 Marco Boresta (Sapienza Università di Roma / IASI-CNR), Giovannelli Tommaso, Lucidi Stefano,
Guido Cocchi
PhD Student of Information Engineering at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. I’m currently a PhD student at the Global Optimization Laboratory. I am interested in multiobjective optimization problems, machine learning and operation research. Publications Scheduling the
Continuous and Multiobjective optimization III
Continuous and Multiobjective optimization III Contributed Session Time Slot: Friday Morning Room: AUD_B Chair: Brilli Andrea Multi-Objective Covering Location Problems with advanced connectivity features and zonal requirements: Exact and Matheuristic approaches Time: 11:30 Serena Fugaro (Institute for Applications of Calculus