报告题目：Interacting Particle Systems for Optimization: from Particle Swarm Optimization to Consensus-Based Optimization

报告人：Jinniao Qiu (University of Calgary, Canada)

报告时间： 2025年12月16日11:00 – 12:00

报告地点： #腾讯会议：901-761-738会议密码：1216

校内联系人：张赫[email protected]

报告摘要: In this talk, we introduce applications of metaheuristics through extensive systems of interacting particles to address complex optimization problems, beginning with the Particle Swarm Optimization (PSO) method. This technique leverages collective intelligence, where individual particles adjust their trajectories based on their own performance and the influence of neighbouring particles, guiding the swarm toward an optimal solution. We shall investigate the continuous model proposed by Grassi and Pareschi, demonstrating its convergence to global minimizers and highlighting its connection to Consensus-Based Optimization (CBO) in the zero-inertia limit. This presentation is based on joint works with Cristina Cipriani, Hui Huang, and Konstantin Riedl.

报告人简介：Dr. Jinniao Qiu is an associate professor in the Department of Mathematics and Statistics, University of Calgary. He received his Ph.D. from the School of Mathematical Sciences, Fudan University, in 2012. After that, he was a postdoctoral fellow in Humboldt-University Berlin first and then a limited-term assistant professor in the University of Michigan. In 2017, he joined the University of Calgary. The research interests include stochastic control, games, and optimizations, (stochastic) PDEs, mathematical finance and economics, and nonlinear dynamical systems.