Subject:Advances in Collaborative Neurodynamic Optimization
Speaker:Prof. Jun Wang
Time: 10:00-11:00am, 16th Dec, 2021
Place: https://meeting.tencent.com/dm/Bi9xqGOHjxTX (Tencent Meeting ID: 245 385 308)
Abstract:
The past three decades witnessed the birth and growth of neurodynamic optimization which has emerged as a potentially powerful problem-solving tool for constrained optimization due to its inherent nature of biological plausibility and parallel and distributed information processing. Despite the success, almost all existing neurodynamic approaches work well only for optimization problems with generalized convex functions. Effective neurodynamic approaches to optimization problems with nonconvex functions and discrete variables are rarely available. In this talk, collaborative neurodynamic optimization approaches will be presented. In the collaborative neurodynamic optimization framework, multiple neurodynamic optimization models with diversified initial states are employed for scatter local search in parallel and a meta-heuristic rule (such as PSO) is used to reposition neuronal states upon their local convergence to escape local minima and move toward global optimal solutions. The efficacy of the proposed approaches will be substantiated with experimental results for, nonnegative matrix factorization, supervised learning, vehicle-task assignment, and portfolio selection, etc.
About the speaker:
Jun Wang is the Chair Professor Computational Intelligence in the Department of Computer Science and School of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and the Chinese University of Hong Kong. He also held various short-term visiting positions at USAF Armstrong Laboratory and RIKEN Brain Science Institute. He received a B.S. degree in electrical engineering and an M.S. degree from Dalian University of Technology and his Ph.D. degree from Case WesternReserve University. His current research interests include neural networks and their applications.He published over 270 journal papers, 15 book chapters, 11 edited books, and numerousconference papers in these areas. He was the Editor-in-Chief of the IEEE Transactions onCybernetics (2014-2019) and served as an Associate Editor of the IEEE Transactions on NeuralNetworks, IEEE Transactions on Cybernetics and its predecessor, and IEEE Transactions onSystems, Man, and Cybernetics: Part C, as a member of the editorial board of Neural Networks,editorial advisory board of International Journal of Neural Systems. He was an organizer of manyinternational conferences such as the General Chair of the 13th/25th International Conference onNeural Information Processing (2006/2018), the 2008 IEEE World Congress on ComputationalIntelligence, and a Program Chair of the 2012 IEEE International Conference on Systems, Man, andCybernetics. He is an IEEE Life Fellow, IAPR Fellow, CAAI Fellow, and a foreign member ofAcademia Europaea (The Academy of Europe). He was a Distinguished Lecturer of the IEEEComputational Intelligence Society (CIS) and the IEEE Systems, Man and Cybernetics Society(SMCS). In addition, he served in many professional organizations such as Asia Pacific NeuralNetwork Assembly (APNNA) as President (2006), IEEE Fellow Committee, IEEE CIS Awards andFellow Committees, IEEE SMCS Board of Governors and Fellow Committee. He is a recipient of theAPNNA Outstanding Achievement Award, IEEE CIS Neural Networks Pioneer Award, CAAI WuWenjun AI Science and Technology Achievement Award, and IEEE SMCS Norbert Wiener Awardand Outstanding Contribution Award, among other distinctions.