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PORTALE DELLA DIDATTICA

Optimization methods for engineering problems

01RGBRV

A.A. 2019/20

Course Language

Inglese

Course degree

Doctorate Research in Electrical, Electronics And Communications Engineering - Torino

Course structure
Teaching Hours
Lezioni 30
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Repetto Maurizio Professore Ordinario ING-IND/31 30 0 0 0 3
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2019/20
PERIOD: MAY The course aims at introducing the main operative concepts of nonlinear optimization both on deterministic (search methods, gradient methods, quadratic optimization) and on stochastic (genetic algorithm, swarm, artificial immune etc.) basis. Some application examples in the field of electromagnetics and energy application will be presented.
PERIOD: MAY The course aims at introducing the main operative concepts of nonlinear optimization both on deterministic (search methods, gradient methods, quadratic optimization) and on stochastic (genetic algorithm, swarm, artificial immune etc.) basis. Some application examples in the field of electromagnetics and energy application will be presented.
1. Introduction to applied optimization in engineering 2. Nonlinear deterministic optimization for single value problems 3. Stochastic optimization for single value problems 4. Multi-objective optimization 5. Application examples
1. Introduction to applied optimization in engineering 2. Nonlinear deterministic optimization for single value problems 3. Stochastic optimization for single value problems 4. Multi-objective optimization 5. Application examples
ModalitÓ di esame:
Exam:


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