Florida International University - College of Engineering – Department of Mechanical and Materials Engineering – Miami
EML 4XXX DESIGN OPTIMIZATION Summer A 2011
Lectures:
MW
2:00p.m. - 4:45 p.m. in MME Conference Room (EC3327)
Office hours: M W 5:00 p.m. – 6:30 p.m. or any other time via Skype (dulikravich)
Instructor:
Prof. George S. Dulikravich, EC 3462, dulikrav@fiu.edu;
(305) 348-7016
Catalog Description:
Conceptual formulations and numerical algorithms for single-objective and multi-objective
unconstrained and constrained optimization using gradient-based and evolutionary
algorithms.
Course Objectives:
Learn and use several computational methods for finding optimal solutions to a broad array
of engineering problems focusing on design of complex engineering systems. Learn how to
use computational analysis results and experimental results in design optimization.
Learning Outcomes:
After taking this course, students should know how to mathematically formulate and solve
design optimization problems in any of the fields of engineering and beyond as optimization
algorithms are of general applicability.
Major Topics:
Basic concepts and formulations of objective functions and function extrema
Equality and inequality constraints
Gradient based optimization algorithms
 Steepest descent method
 Conjugate gradient methods
 Newton-Raphson method
 Quasi-Newton methods
Evolutionary and stochastic methods
 Genetic algorithm
 Differential evolution
 Particle swarm
Hybrid methods for single-objective optimization
Response surfaces and optimization
Multi-objective optimization and Pareto optimality
Examples of optimized designs in fluid mechanics, heat transfer and solid mechanics.
Prerequisites:
Co-requisites:
EML 2032; EML 3126; EMA 3702
EML 3036
Textbook and software:
Handouts and basic software will be provided.
Grading system:
Eight computer projects (each to be submitted as a MSWord report)
One final exam (in-class)
There will be no makeup exams or computer projects. All CPs must be submitted.
8 x 10%
1 x 20%