Evolutionary computation and its roles in AI
Evolutionary computation is a nature-inspired computing paradigm. It has been a popular research area in AI in the last couple of decades. In this talk, I will cover the recent development in evolutionary algorithms, especially using directional information for guiding evolutionary search. In particular, I will introduce the concept of direction of improvement in both aspects convergence and spreading. Some newly proposed works from our research group related to this will also discussed during the talk.
Assoc. Prof. Bui Thu Lam – Le Quy Don University (Vietnam)
Dr. Lam Thu BUI received the Ph.D. degree in computer science from the University of New South Wales (UNSW), Australia, in 2007. He did postdoctoral training at UNSW from 2007 until 2009.
He has been involved with academics including teaching and research since 1998. Currently, he is an Associate Professor and Dean of IT Faculty, Le Quy Don Technical University, Hanoi, Vietnam. He is doing research in the field of evolutionary computation, specialized with evolutionary multiobjective optimization. He is the co-editor of the book Multiobjective Optimization in Computational Intelligence: Theory and Practice (IGI Global Information Science Reference Series); and the General Chair of the Ninth International Conference on Simulated Evolution and Learning – SEAL2012.
Dr. Bui is EiC of Journal of Science and Technology: Section on Information and Communication Technology (LQDTU-JICT), a member of the Editorial Board, International Journal of Computational Intelligence and Applications (IJCIA), and was the Vice-Chair of the Evolutionary Computation Technical Committee (ECTC), IEEE Computational Intelligence Society. He has been a member of the program committees of several conferences and workshops in the field of evolutionary computing, such as the IEEE Congress on Evolutionary Computation and the Genetic and Evolutionary Computation Conference.