Engineering Design Optimization, 7.5 credits
Engineering Design Optimization, 7.5 hp
6FIEI38
Course level
Third-cycle EducationDescription
The course aims to provide knowledge in dealing with construction problems using modelling, simulation and optimization, where the emphasis is on the latter.
Preliminary Schedule
10th of November
• 10:00-10:15 Welcome to the course
• 10:15-11:00 Optimization and engineering
• 11:15-12:00 Optimization methods, gradient based, PSO, complex
• 12:00-13:15 Lunch
• 13:15-14:00 Optimization method continued
• 14:15-16:00 Genetic Algorithms
• 16:15-17:00 Exercises – Solve mathematical functions with MATLAB
11th of November
• 9:00-10:30 Simulation and optimization, DSM, Penalty Functions
• 10:45-12:00 Exercises - Simulation and optimization
• 12:00-13:00 Lunch
• 13:15-14:30 Multi-Objective Optimization
• 14:45-16:00 Exercises – MOO, Constraints, DSM
• Project discussions
24th of November
• 10:00-12:00 Surrogate Models
• 12:00-13:00 Lunch
• 13:00-14:00 Exercises - Surrogate Model – Paper Airplane
• 14:00-15:00 Post Optimal Analysis - Multi-Criteria Decision Making, Plotting
• 15:15-16:00 Exercises – Post Optimal Analysis
25th of November
• 9:00-11:00 Multidisciplinary Optimization
• 11:00-12:00 Exercises – modeFRONTIER
• 12:00-13:00 Lunch
• 13:15-16:00 Exercises – modeFRONTIER
15th of December
• 09:30-12:00 Presentation of the projects
• 12:00-13:00 Lunch
• 13:00-15:00 Presentation of the projects
• 15:00-15:30 Round Up
Register to the course by e-mail to johan.persson@liu.se
The number of spots is limited to 20.
Contact
-
Johan Persson
Examiner
Specific information
Please note that this is a translation of the official syllabus in Swedish. In the event of any differences, the Swedish document takes precedence.
Learning outcomes
The participant should after the course:
- Be able to formulate design problems as optimization problems.
- Be able to handle optimization problems with several conflicting objectives
- Understand the function and explain the difference between different optimization methods, e.g. Gradient Based search, the Complex method and Genetic Algorithms
- Use optimization methods to solve real life engineering problems
- Use optimization methods together with different types of simulation models
Contents
- Engineering Design and Optimization- How can optimization support the design process?
- Optimization methods – from traditional gradient based methods to non-gradient methods such as the Complex method, Genetic Algorithms and Particle Swarm Optimization.
- Multi-objective optimization – How to handle problems with several conflicting objectives.
- Handling of constraints via penalty functions.
- Surrogate Models – How to use Design of Experiments and Surrogate Models to reduce the optimization time.
- Post optimal analysis – How to choose a solution from a large pool of optimal solutions
- Application examples where modeling, simulation and optimization are used to solve real world industrial problems.
Educational methods
The course consists of lectures and computer exercises during three workshops in Linköping, as well as individual project work. The scheduled time is approximately 40 hours.
Examination
Presenting an optimization project with an application of your choice, including an oral presentation and a written report.
Grading
Two-grade scaleCourse literature
A list of recommended literature will be provided by the course coordinator at the start of the course.
General information
The course takes into account equal conditions and aims to make use of the resources that students with different backgrounds, life situations and skills add to the education
Bibliography and schedule are determined in a different order
Course evaluation must be done by the course coordinator after each course opportunity. The results of the course evaluation must be communicated to the participants and the postgraduate education council at IEI.