Optimization of Complex Systems
Description
Description
This course in Optimization of Complex Systems (cod. 10612380) is elective in the Masters Degree Programme in Management Engineering (cod. 29936).
This course in Optimization of Complex Systems (cod. 10612380) is elective in the Masters Degree Programme in Management Engineering (cod. 29936).
Lectures start on february 28 2025, end on may 30 2025, and take place in classrooms A6 (tuesday 2-4 pm) and A4 (friday 5-8 pm) in the Department of Computer, Control, and Management Engineering, via Ariosto 25, Rome.
Lectures start on february 28 2025, end on may 30 2025, and take place in classrooms A6 (tuesday 2-4 pm) and A4 (friday 5-8 pm) in the Department of Computer, Control, and Management Engineering, via Ariosto 25, Rome.
The purpose of this course is to study mathematical models useful in taking decisions when more than a decision maker is present. In particular multi-objective, Nash equilibrium and bilevel models will be analyzed. Emphasis will be given to computational aspects. At the end of the course students will be able to deal with multi-agent problems and to use suitable solution algorithms. They will also learn how to use game theoretic models in realistic cases.
The purpose of this course is to study mathematical models useful in taking decisions when more than a decision maker is present. In particular multi-objective, Nash equilibrium and bilevel models will be analyzed. Emphasis will be given to computational aspects. At the end of the course students will be able to deal with multi-agent problems and to use suitable solution algorithms. They will also learn how to use game theoretic models in realistic cases.
Suggested prerequisites: Operations Research (basic course), fundamentals of Mathematics
Suggested prerequisites: Operations Research (basic course), fundamentals of Mathematics
Teacher
Teacher
Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) - via Ariosto 25, Rome
Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) - via Ariosto 25, Rome
Room A109
Room A109
Office hours: friday from 3pm to 5pm (only on appointment)
Office hours: friday from 3pm to 5pm (only on appointment)
Tutor
Tutor
Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) - via Ariosto 25, Rome
Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) - via Ariosto 25, Rome