Xiaomin Zhu, PhD, Professor
College of Systems Engineering at National University of Defense Technology, Changsha, China
Title: Aggregation and emergence of swarm based on the evolution mechanism of organism
Abstract
Swarm intelligence is an important research field of artificial intelligence, and it is also the inevitable trend of the development of single agent intelligence. Inspired by the aggregation and emergence of biological swarm in nature, scholars at home and abroad are conducting research on swarm intelligence to improve the characteristics of swarm, such as large-scale and strong robustness. This report focuses on the generation and transformation of swarm under the control of gene regulatory networks. Gene regulatory network (GRN) is an efficient method to generate swarm formation. Under the control of gene regulatory network, the swarm can be deployed to track or entrap targets. By adding the cooperation between the swarm and the neighbors and obstacles in the task environment, the performance of the swarm in the target trapping task is effectively improved. The proposed network structure is demonstrated by simulations and experiments on Kilobots. Finally, the future development directions of the swarm are prospected from the task diversity, limited environment, task environment changes and other aspects.
Biography
Xiaomin Zhu received the Ph.D. degree in computer science from Fudan University, Shanghai, China, in 2009. In the same year, he received the Shanghai Excellent Graduate Award. He is currently a Professor in the College of Systems Engineering at National University of Defense Technology, Changsha, China. His research interests include scheduling and resource management in distributed systems. He has published more than 150 research articles in refereed journals and conference proceedings such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Systems and Software, AAAI, and SIGKDD.