Set oriented methods have proven to be very efficient in the numerical treatment of various classes of global optimization problems in academy and industry and are widely used in many fields, such as Engineering and Finance. This special session serves as a platform for researchers from all over the world to present and discuss recent advances in set oriented numerical methods in particular in the context of optimization. Methods of this kind iterate (or evolve) entire sets instead of considering point-wise iterative methods and are thus in particular advantageous if a thorough investigation of the entire domain is required and/or the solution set is not given by a singleton.
Topics of interest include (but are not limited to):
- cell mapping techniques
- subdivision techniques
- continuation methods
- swarm-like strategies
- methods for all kinds of optimization problems, including scalar, multi-objective, bi-level, and dynamic optimization problems
- applications to real-world problems
All submission will be peer-reviewed by a panel of international experts.
|Oliver Schütze received a PhD in Mathematics from the University of Paderborn, Germany, in 2004. He is currently professor at the Cinvestav-IPN in Mexico City, Mexico. His research interests focus on numerical and evolutionary optimization where he addresses both numerical and evolutionary techniques. He has co-authored more than 160 publications including 2 monographic books, 5 text books and 12 edited books. Google Scholar reports more than 3,500 citations and a Hirsch index of 31. During his career he received several prices and awards. For instance, he is co-author of two papers that won the IEEE CIS Outstanding Paper Award (for the IEEE TEC papers of 2010 and 2012). He is Editor-in-Chief of the journal Mathematical and Computational Applications, and member of the Editorial Board for Computational Optimization and Applications, Engineering Optimization, and Mathematical Problems in Engineering. Dr. Schuetze is member of the Mexican Academy of Sciences (AMC) and the National Network of Researchers (SNI Level II).|