| Speaker: | Ronaldo Menezes,University of Exeter |
| Host: | Bo Fu, FudanUniversity |
| Time: | 15:00-16:30, Oct. 25th, 2019 |
| Location: | N205, Zibin building, Fudan University |
| Abstract: | Swarm intelligence is the collective behaviour emerging in systems with locally interacting components. Because of their self-organization capabilities, swarm-based systems show essential properties for handling real-world problems such as robustness, scalability, and flexibility. Yet, we do not know why swarm-based algorithms work well and neither we can compare the different approaches in the literature. The lack of a common framework capable of characterizing these several swarm-based algorithms, transcending their particularities, has led to a stream of publications inspired by different aspects of nature without much regard as to whether they are similar to already existing approaches. Here we address this gap by introducing a network-based framework---the interaction network---to examine computational swarm-based systems via the optics of {\itshape social dynamics}. We discuss the social interactions of four well-known swarm-based algorithms and provide a case study of the Particle Swarm Optimization. The interaction network enables researchers to study swarm algorithms as systems, removing the algorithm particularities from the analyses while focusing on the structure of the social interactions. |
| Bio: | Ronaldo Menezes is a Professor of Data and Network Science and head of the computer science department at the University of Exeter. He moved to Exeter in August 2018 after 18 years at the Florida Institute of Technology. He has been a member of many organisations such as IEEE (Senior Member), ACM, SBC (Brazilian Computing Society). He served as an elected official for the ACM SIGAPP for nearly 6 years. He is a member of the steering committee of CompleNet, and a board member of NetSci Society. He is the co-editor-in-chief of the Applied Network Science Journal published by Springer Nature. Prof. Menezes directs the BioComplex Laboratory in the University of Exeter focusing on research on Network Science (aka Complex Networks), Bio-Inspired Computing, Complex Systems and Human Dynamics. He has published more than 140 peer-reviewed publications in these fields and has collaborated with more than 30 researchers worldwide. |