Prof Kay Chen TanDepartment of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore
Recent Advances in Evolutionary Multiobjective Optimization and Applications
Multi-objective optimization is widely found in many fields, such as logistics, economics, engineering, or whenever optimal decisions need to be made in the presence of trade-offs. The problem is challenging because it involves the simultaneous optimization of several conflicting objectives in the Pareto optimal sense and requires researchers to address many issues that are unique to MO problems. This talk will first provide an overview of evolutionary computation for multi-objective optimization (EMO). It will then discuss challenges faced in EMO research and present various EMO algorithms for good optimization performance. The talk will also discuss the application of evolutionary computing techniques for solving engineering problems, such as logistics, design optimization and prognostic applications.
Dr. Kay Chen Tan received his B. Eng degree with First Class Honors in Electronics and Electrical Engineering, and his Ph.D. degree from the University of Glasgow, Scotland, in 1994 and 1997, respectively. He is currently an Associate Professor in the Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore.
Dr. Tan actively pursues research in the area of computational intelligence, with applications to multi-objective optimization, scheduling, automation, data mining, and games. He has published over 100 journal papers, over 100 papers in conference proceedings, and co-authored 5 books. Dr. Tan has been an Invited Keynote/Plenary speaker for over 40 international conferences. He served in the international program committee for over 100 conferences and involved in the organizing committee for over 50 international conferences. Dr. Tan is the General Co-Chair for IEEE World Congress on Computational Intelligence 2016 in Vancouver, Canada. Dr. Tan is currently an elected member of AdCom (2014-2016) and is an IEEE Distinguished Lecturer of IEEE Computational Intelligence Society (2011-2013; 2015-2017).
Dr. Tan is the Editor-in-Chief of IEEE Transactions on Evolutionary Computation. He was the Editor-in-Chief of IEEE Computational Intelligence Magazine (2010-2013). He currently serves as an Associate Editor / Editorial Board member of over 20 international journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation (MIT Press), European Journal of Operational Research, Neural Computing and Applications, Journal of Scheduling, International Journal of Systems Science, etc.
Dr. Tan is a Fellow of IEEE. He is the awardee of the 2012 IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award for his contributions to evolutionary computation in multi-objective optimization. He also received the Recognition Award (2008) from the International Network for Engineering Education & Research (iNEER) for his outstanding contributions to engineering education and research. He was felicitated by the International Neural Network Society (INNS) India Regional Chapter (2014) for his outstanding contributions in the field of computational intelligence.
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