ECE 733
Nonlinear
Optimization for Electrical Engineers
Course Outline: 2017/2018, September 2017
Instructor: Dr. Mohamed Bakr,
B.Sc., M.Sc., Ph.D., P.Eng., mbakr@mail.ece.mcmaster.ca
Lectures: JHE A101
Office Hours: One hour after each
lecture.
Course Objective: This course addresses different concepts in nonlinear
optimization with a special focus on electrical applications. Starting with classical optimization
approaches and single dimensional methods, we move to cover unconstrained and
constrained multidimensional optimization.
Both gradient-based and value-based optimization approaches are
covered. The course also addresses areas
of research relevant to electrical engineering. These include Space Mapping
(SM) optimization, global optimization approaches such as particle swarm
optimization (PSO), and Adjoint Variable Methods
(AVM). The examples and projects mainly
focus on applications relevant to electrical engineering.
Outline of
Topics: 1.
Introduction
2. Classical Optimization Approaches
3. One dimensional search
4. Unconstrained Optimization
5. Constrained optimization
6. Global Optimization Approaches
7. Space Mapping Optimization
8. Adjoint Variable
Methods
9. Discussion of
Advanced Topics
Format: One 3-hour lecture
is offered per week. One
office hour after each lecture.
Assessment:
· 4 matlab
assignments (60%)
· Final Project (40%).
Resources:
Recommended Text: 1- Singiresu
S. Rao, Engineering Optimization Theory and Practice, Third Edition, John Wiley
& Sons Inc.
2- Mohamed H. Bakr,
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB,
IET Press.
3- Collection of
research papers.