Practitioners are often reluctant in using a formal optimization method for routine applications, mainly due to the general perception of requiring a large computational time and ending up with a specialized and often "brittle" solution. Optimization methods have come a long way and are made flexible to handle various practicalities including reduction of solution time, search for robust and reliable solutions, and discover useful knowledge understanding intricacies of the problem. In this talk, we shall lay out some of the new advances in optimization field, such as multi-criterion optimization, surrogate-assisted optimization, innovative knowledge discovery, etc., and demonstrate their usefulness on a number of industrial case studies.
This event was hosted by the NAFEMS Optimisation Working Group (OWG). The OWG has formed an online Community to help disseminate best practice and encourage the adoption of optimisation methods and technology. You can discuss this and other presentations on the Optimisation Community Forum. For more information and to get involved go to the Optimisation Community webpage.
|Audiences||Analyst Student Developer|
|Date||19th April 2018|
|Organisation||Michigan State University|