Kay Chen Tan
Title: Evolutionary Multi-objective Optimization in Engineering and Prognostic 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 provide an overview of evolutionary computation for multi-objective optimization (EMO). It will then present various applications of EMO for solving engineering problems particularly in the area of robust prognostic. As one of the key enablers of condition based maintenance, prognostic involves the core task of determining the remaining useful life (RUL) of the system. This talk will discuss the use of neural network ensembles to improve the prediction accuracy of RUL estimation as well as the use of EMO to optimize the ensemble hyper-parameters in order to achieve the trade-off between accuracy and diversity of deep neural networks as ensemble members. A case study involving the estimation of RUL for turbofan engines will also be presented in the talk.
Kay Chen Tan (SM’05)
(SM’08–F’14) received the
B.Eng. (Hons.) degree in electronics and electrical
engineering and the Ph.D. degree from University of
Glasgow, Glasgow, U.K., in 1994 and 1997, respectively.
He is an Associate Professor with the Department
of Electrical and Computer Engineering, National
University of Singapore, Singapore. His research
interests include computational and artificial intelligence,
with applications to multiobjective optimization,
scheduling, automation, data mining, and
games. He has published over 100 journal papers and over 100 papers in
conference proceedings, and also co-authored five books.
Dr. Tan received the 2012 IEEE Computational Intelligence Society
Outstanding Early Career Award for his contributions to evolutionary computation
in multiobjective optimization. He was an Editor-in-Chief of IEEE
Computational Intelligence Magazine. He also is an Associate Editor/Editorial
Board member of over 15 international journals.
Note: Anyone who requests for speech slide @ TAAI 2015 can contact keynote speaker (Kay Chen Tan) directly.