Espandi Menu

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Notifiche Email

Elenco notifiche

A Short Course on Evolutionary Multi-Criteria Optimization and Decision-Making (insegnamento su invito)

01VYHRV

A.A. 2024/25

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino

Course structure
Teaching Hours
Lezioni 25
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Repetto Maurizio Professore Ordinario IIET-01/A 2 0 0 0 2
Co-lectures
Espandi
Context
SSD CFU Activities Area context
*** N/A *** 5    
Date d'appello
Orario delle lezioni
Statistiche superamento esami
This five-day course will introduce basics of optimization, classical methods, and recent evolutionary optimization methods systematically and with hands-on exercises. After building the foundation on single-objective optimization methods, multi-criterion search and optimization basics and methods will be introduced with a focus on evolutionary methods, known as EMO methods.
This five-day course will introduce basics of optimization, classical methods, and recent evolutionary optimization methods systematically and with hands-on exercises. After building the foundation on single-objective optimization methods, multi-criterion search and optimization basics and methods will be introduced with a focus on evolutionary methods, known as EMO methods.
-
-
Guest Lecture: Kalyanmoy Deb - Department of Electrical and Computer Engineering in Michigan State University, USA Research Interests: Computational intelligence, Arti cial intelligence, Machine learning, Evolutionary computation, Multi-criterion optimization and decision analysis, Data Analytics Teaching Interests: Evolutionary computation, Multi-Criterion optimization and decision making, AI and Computational intelligence, Machine learning, Programming and Numerical Methods, Fundamental undergraduate courses in computing and engineering disciplines
Guest Lecture: Kalyanmoy Deb - Department of Electrical and Computer Engineering in Michigan State University, USA Research Interests: Computational intelligence, Arti cial intelligence, Machine learning, Evolutionary computation, Multi-criterion optimization and decision analysis, Data Analytics Teaching Interests: Evolutionary computation, Multi-Criterion optimization and decision making, AI and Computational intelligence, Machine learning, Programming and Numerical Methods, Fundamental undergraduate courses in computing and engineering disciplines
In presenza
On site
Presentazione orale
Oral presentation
P.D.2-2 - Settembre
P.D.2-2 - September