Prof.Yuhui Shi (Professor of Electronic and Electrical Engineering, Xi'an Jiaotong-Liverpool University)
Dr. Yuhui Shi has been a professor in the Department of Electrical and Electronic Engineering at Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, since 2008. Dr. Shi was with Electronic Data Systems Corporation (EDS) in Indiana from 1998 to 2007. He is the editor-in-chief of the International Journal of Swarm Intelligence Research and was an associate editor of the IEEE Transactions on Evolutionary Computation from January, 2003, to December, 2013. Dr. Shi co-authored a book on swarm intelligence with Dr. James Kennedy and Dr. Russell C. Eberhart, and another book, Computational Intelligence: Concept to Implementation, with Dr. Russell C. Eberhart.
Title Developmental Brain Storm Optimization Algorithms
Abstract
Among all population-based evolutionary computation and/or swarm intelligence algorithms, even though most of them are nature-inspired and/or bio-inspired, especially are inspired by objects with low level intelligence, they have shown great capability to solve complex and difficult optimization problems. Human being is the most intelligent animal on the earth, therefore, it is natural to expect that optimization algorithms motivated and/or inspired from collective behavior of human being could be superior to the optimization algorithms motivated and/or inspired by objects with low level intelligence. In this talk, the brain storm optimization (BSO) algorithms will be introduced, which was inspired by one of the human being problem solving skills, that is, the brainstorming process. First, the brainstorming process will be introduced, followed by the development of the brain storm optimization algorithm; then, the framework of developmental learning algorithms will be discussed; finally the BSO algorithm will be looked at from the developmental learning perspective.
