报告时间：2015年3月31日 10:30 a.m.
报告人： Xiaodong Li
This talk provides an introduction to Swarm Intelligence (SI), a discipline dealing with artificial and natural systems studying the collective behaviors of social insects or animals. SI represents a new concept of Artificial Intelligence and is becoming increasingly popular in recent years. Nature provides many inspirations for the development of SI techniques. These SI techniques have shown remarkable capabilities on solving problems that are often difficult to handle by conventional computational techniques. In an SI system, although there is a lack of centralized control, the system at the swarm level exhibits complex and self-organizing behaviors. This is often the result of local interactions among individuals in the swarm as well as individuals with the environment, based on very simple interaction rules.
This talk first provides an overview on SI and how it complements the traditional definition of Artificial Intelligence. Several biological examples as inspirations for SI techniques will be provided, along with an SI metaphor of the human society. The application of SI principles to optimization is in particular prevalent among its many application areas. This talk will focus on providing a detailed account on one of the most popular SI techniques, Particle Swarm Optimization (PSO). In particular, the talk will present the canonical PSO and its variants, and provide an illustration of swarm dynamics through a simplified PSO. The talk will also discuss several popular PSO application areas including multiobjective optimization, optimization in dynamic environments, multimodal optimization, cooperative co-evolution, large scale optimization, and their recent developments.
Xiaodong Li received his B.Sc. degree from Xidian University, Xi'an, China, and Ph.D. degree in information science from University of Otago, Dunedin, New Zealand, respectively. Currently, he is an Associate Professor at the School of Computer Science and Information Technology, RMIT University, Melbourne, Australia. His research interests include evolutionary computation, neural networks, complex systems, multiobjective optimization, and swarm intelligence. He serves as an Associate Editor of the IEEE Transactions on Evolutionary Computation, the journal of Swarm Intelligence (Springer), and International Journal of Swarm Intelligence Research. He is a founding member and currently a Vice-chair of IEEE CIS Task Force on Swarm Intelligence, and currently a Chair of IEEE CIS Task Force on Large Scale Global Optimization. He was the General Chair of SEAL'08, a Program Co-Chair AI'09, and a Program Co-Chair for IEEE CEC’2012. He is the recipient of 2013 SIGEVO Impact Award.