# Optimization Techniques

 Title ΤΕΧΝΙΚΕΣ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗΣ / Optimization Techniques Code ΗΥ3202 Faculty Engineering School Electrical and Computer Engineering Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Georgios Rovithakis Common No Status Active Course ID 20000607

 Academic Year 2017 – 2018 Class Period Spring Faculty Instructors Weekly Hours 3 Class ID 600111447

### Class Schedule

 Building Πολυτεχνείο (πτέρυγα Γ) Floor Όροφος 1 Hall Α4 (5) Calendar Τρίτη 16:00 έως 18:00 Building Πολυτεχνείο (πτέρυγα Γ) Floor Όροφος 1 Hall Α4 (5) Calendar Τετάρτη 17:00 έως 18:00
Course Type 2016-2020
• Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
• English (Examination)
Learning Outcomes
The purpose of the course is for the course participant to develop basic knowledge and skills in optimization methods. On the completion of the course, the student will be able to: 1. Construct optimization problems; 2. Determine if an optimization problem can be solved; 3. Construct and analyze optimization algorithms for nonlinear problems, with or without constraints.
Course Content (Syllabus)
Basic principles (convex sets and functions, optimality conditions, duality); Unconstrained optimization (line search with and without using derivatives, gradient methods, the Levenberg-Marquardt modification, quasi-newton and conjugate gradient methods); Constrained optimization (penalty function methods, barrier function methods, methods of feasible directions, augmented Lagrangian methods); Convergence and speed of convergence analysis; Global optimization (simulated annealing, evolutionary algorithms).
Educational Material Types
• Notes
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Laboratory Teaching
• Use of ICT in Communication with Students
Course Organization
Lectures391.3
Total391.3
Student Assessment
Student Assessment methods
• Written Exam with Short Answer Questions (Summative)
• Written Assignment (Summative)
• Performance / Staging (Summative)
• Written Exam with Problem Solving (Summative)
• Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
«Τεχνικές Βελτιστοποίησης» του Γεωργίου Ροβιθάκη, Εκδόσεις ΤΖΙΟΛΑ, 2007.
Last Update
16-07-2013