Opening Talk on Wednesday 19 April 2017
Abstract: I’ve had the privilege of involvement in this field from its early days. The result is a rather unique and comprehensive perspective on its development and growth. In this talk I use that perspective to highlight some important milestones, discuss some current issues and suggest some directions for the future.
Bio: Kenneth A. De Jong received his Ph.D. in computer science from the University of Michigan in 1975. He joined George Mason University in 1984 and is currently a Professor Emeritus of Computer Science, head of the Evolutionary Computation Laboratory, and Associate Director of the Krasnow Institute. His research interests include genetic algorithms, evolutionary computation, machine learning, and complex adaptive systems. He is currently involved in research projects involving the development of new evolutionary algorithm (EA) theory, the use of EAs as high-performance optimization techniques, and the application of EAs to the problem of learning task programs in domains such as robot navigation and game playing. He is an active member of the Evolutionary Computation research community and has been involved in organizing many of the workshops and conferences in this area. He is the founding editor-in- chief of the journal Evolutionary Computation (MIT Press), and a member of the board of ACM SIGEVO. He is the recipient of an IEEE Pioneer award in the field of Evolutionary Computation and a lifetime achievement award from the Evolutionary Programming Society.
Closing Talk on Friday 21 April 2017
Abstract: This talk will give a realistic overview of the current state of the art of EC in industry based on 20 years experience from applying these systems in several large global corporations. It includes a short analysis of the differences between academic and industrial research, examples of the key implementation areas of EC in manufacturing and business, a discussion about the main factors for success and failure of industrial EC systems, and an estimate of the projected industrial needs that may drive future applications.
Bio: Dr. Arthur Kordon is CEO of Kordon Consulting LLC and an internationally recognized expert in applying data science, advanced analytics and computational intelligence in industry. The list of his current projects for large corporations includes: customer churn analysis, classifying patterns in office occupancy, nonlinear price forecasting, etc. In his previous position as Advanced Analytics Leader at Dow Chemical, Dr. Kordon has successfully applied advanced analytics solutions in various business problems in forecasting, business cycles analysis, price elasticity analysis, fraud detection in Auditing, etc. He also successfully introduced several novel technologies for improved manufacturing and new product design based on computational intelligence, such as robust inferential sensors, process optimization based on empirical emulators, automated operating discipline, and accelerated fundamental model building. He holds a US patent and has published more than 70 papers and 14 book chapters in the area of applied computational intelligence and advanced analytics. Recently he published the book Applying Computational Intelligence, published by Springer and is a co-author of the book Applied Data Mining for Forecasting, published by SAS Press.