NAFEMS Optimisation Special Interest Group - 5th Meeting
Customized Optimization for Practical Problem Solving
19th April 2018 at 16:00 UK time
On the 19th of April Professor Kalyanmoy Deb of Michigan State University will be presenting on the topic of Customized Optimization for Practical Problem Solving.
Abstract: 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.
Click here to register for the technical meeting on Thursday 19th April 2018.
About the NAFEMS Optimisation Special Interest Group
The Optimisation Working Group has formed a Special Interest Group (SIG) in order to help disseminate best practice and encourage the adoption of optimisation methods and technology. To participate in the Optimisation SIG you do not have to be an expert in this technical area. The Optimisation SIG is for NAFEMS members who are interested in expanding their capabilities in the optimisation technical area.
The Optimisation Special Interest Group is open to all NAFEMS members with an interest in Optimisation. Non-NAFEMS members are invited to attend one event of their choice. Attendance of more than one event is reserved as a benefit for NAFEMS members.
Event Type: Special Interest Group Meeting
Date: April 19, 2018
About the Speaker
Kalyanmoy Deb is Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA.Prof. Deb's research interests are in evolutionary optimization and their application in multi-criterion optimization, modeling, and machine learning.He received a number of prestigious awards, including Infosys Prize, EC Pioneer award, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is fellow of IEEE and ASME. He has published over 480 research papers with Google Scholar citation of over 110,000 with h-index 105. He is in the editorial board on 18 major international journals. More information about his research contribution can be found from http://www.egr.msu.edu/~kdeb and his COIN lab website at MSU: http://www.coin-laboratory.com.