Cyclic shifts are common in many environments. This thesis will concern the analysis and developement of MIP models for planning shifts in an optimal way. Supervisor: Fabio Schoen Candidate: Andrea Fresu Date: 12/2012 Laurea: triennale Ingegneria Informatica
Robust optimization for space trajectories
We developed global optimization algorithms (in C++) for robust optimization and apply them to find robust optimal spacecraft mission trajectories where some parameters like, e.g., the launch date, are uncertain. Supervisor: Fabio Schoen Candidate: Filippo Betti Date: 12/2012 Laurea: triennale Ingegneria Informatica
Optimization of the three-dimensional structure of molecular clusters
Discovering the three dimensional shape of a molecule is something which can be done viewing the problem as a minimization one, in which the objective to be minimized is the potential energy of the molecule and the variables are three-dimensional
Basic tools for directed hypergraphs
The objective of this thesys is to develop basic algorithms for directed hypergraphs: connectivity, shortest paths, trees Supervisors: Fabio Schoen, Mirko Maischberger, Andrea Cassioli Candidate: Marco Gualtieri Date: 07/2012 Laurea: triennale Ingegneria Informatica
Developement of heuristic procedures for operating room scheduling
Recently a thesis has been devoted to the developement of a mixed integer optimization model for operating theater planning. This thesis concerns the developement of a suite of heuristic methods coded in C++ for the approximate solution of large scale
Flow analysis and logistics of drugs in a large hospital
This thesis will deal with the analysis of flows of orders and usage for drugs in a large hospital. The aim is to analyze flows in order to find improvement opportuinities and to spot inefficiencies in the systrem Supervisor: Fabio Schoen
Optimization methods for public transport ticket zones management
This thesis goal is the study of models and algorithms for the optimal partition of the territory into ticket zones for local public transport. There are two problems that need to be solved: Given a partition into different zones, select
Global optimization methods for black box problems
In many situations it is necessary to optimize functions whose analytical expression is unavailable and whose evaluation requires huge CPU times. An example in this context is parameter calibration in simulation models, where, given some real observed data, it is
Innovative models and algorithms for traffic networks equilibrium problems
Extending the work done on other thesis, we intend to study and develop equilibrium algorithms based on the projected gradient. Such methods seem to be more efficient on large scale problems. Supervisor: Fabio Schoen Candidate: Giacomo Santoni Date: 07/2011 Laurea: triennale Ingegneria
Machine learning tools for the automatic diagnosis of industrial oil
The thesis concerns the study of methods based on SVM (Support Vector Machines) for decision support in the field of risk assessment for machinery based on the analysis of lubricating oil. The study concerns the use of SVM on a