| Title | Evolutionary Optimization and Learning in Uncertain Environments |
| Speaker | Prof. Yaochu Jin |
| Chair | Andries Engelbrecht |
Abstract
Evolutionary optimization in the presence of uncertainties is of paramount importance for solving real-world problems. This talk begins with an overview of the state-of-the-art on evolutionary optimization in dynamic and uncertain environments, including the main approaches to solving dynamic problems and the applicability of each method. We then discuss a few new research topics in dealing with uncertainty and dynamism in optimization, including problems with dynamic linkage, a combination of dynamic fitness landscape and dynamic constraints, problems with a changing search dimension, dynamic multi-objective optimization problems, and robustness over time, where trade-off between robustness and dynamics and the cost of re-design must be taken into account. Finally, we will provide an example of real-world problem in steel-making and continuous casting, where the user need to consider whether a rescheduling should be started or a robust optimal solution should be sought.
Biography
Yaochu Jin (M’98–SM’02) received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1988, 1991, and 1996 respectively, and the Dr. Ing. degree from Ruhr-University Bochum, Bochum, Germany, in 2001.
He is currently a Professor and the Chair in Computational Intelligence with the Department of Computing, University of Surrey, Guildford, U.K., where he heads the Nature Inspired Computing and Engineering Group. Before joining Surrey, he was a Principal Scientist and Group Leader with the Honda Research Institute Europe, Offenbach am Main, Germany. His main research interests include computational intelligence, computational neuroscience and computational systems biology, with applications to complex engineering optimization, bioengineering, swarm robotics, and autonomous systems. He has (co)edited five books and three conference proceedings, authored a monograph, and (co)authored over 150 peer-reviewed journal and conference papers. He has been granted eight US, EU and Japan patents. His current research is funded by EU FP7, UK EPSRC and industries, including Intellas UK, Santander, Aero Optimal, Bosch UK and Honda. He has delivered over ten invited keynote speeches on morphogenetic robotics; developmental neural systems; modeling, analysis, and synthesis of gene regulatory networks; evolutionary optimization; and multi-objective learning at international conferences.
Dr. Jin is an Associate Editor of BioSystems, the International Journal of Fuzzy Systems and SoftComputing, the IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, PART B: CYBERNETICS, IEEE TRANSACTIONS ON NANOBIOSCIENCE, and IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE. He is a Distinguished Lecturer (2013-2015) and an elected AdCom Member (2012-2014) of the IEEE Computational Intelligence Society. He was the recipient of the Best Paper Award of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
