Customized Optimization for Practical Problem Solving

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.

Document Details

ReferenceW_Apr_18_OWG_2
AuthorDeb. K
LanguageEnglish
AudiencesAnalyst Student Developer
TypePresentation
Date 19th April 2018
OrganisationMichigan State University
RegionTechnical

Download


Back to Search Results