A brief description of the course
The objective of this course, targeted at engineering design researchers and practitioners alike, is to introduce basic principles of multidisciplinary design optimization (MDO). Upon successful completion of this course, attendees will be familiar with: relevant engineering optimization concepts; gradient-based and derivative-free algorithms; appropriate surrogate optimization frameworks; MDO problem formulations and architectures; non-hierarchical and hierarchical coordination methods. Examples will be will be used along with assignments to demonstrate the implementation of theoretical topics so that practitioners can learn how to apply them on their own problems. Basic optimization background is not strictly required (fundamentals will be reviewed brief), but can be very facilitating.
- Engineering optimization: review of relevant theory and algorithms
- Rigorous approaches for surrogate-assisted simulation-based design optimization
- Multidisciplinary design optimization formulations and architectures
- Analytical target cascading: hierarchical and non-hierarchical coordination
The course is also available through Production2030, 3 HEC (Higher Education Credits).
A preliminary schedule will be sent within some weeks after the final date for the registration.
Date: 16th-20th of January 2017
Time: 09.00-12.00 (Monday-Friday)
Location: Nordanvinden/Sunnanvinden, Hörsalsvägen 5, Campus Johanneberg, Chalmers University of Technology
Lecturer: Associate Professor Michael Kokkolaras from McGill University.
Registration: Register here, registration deadline is December 31
Lecture; Seminar; Workshop
Nordanvinden/Sunnanvinden, Hörsalsvägen 5, Campus Johanneberg
16 January, 2017, 09:00
20 January, 2017, 12:00