Prof. Qianchuan Zhao  (Link)

Tsinghua University, China

Research Topic：

Internet of Things, Markov processes, cyber-physical systems, learning (artificial intelligence), video surveillance, QR codes, VLSI, Web services, autonomous aerial vehicles, buildings (structures), calibration, cameras, computer games, computer vision, control engineering computing, cryptography, decision theory, disasters, diseases, distance measurement, emergency management, emergency services, energy conservation, failure analysis, finite state machines

Speech Title: Efficient Building Operation Optimization Strategies Using Swarm Intelligence

Abstract: This talk will overivew a new building operation control scheme that tries to treat control devices in buildings as smart agents working together as a swarm. We forumlate a class of energy efficient building control problems as a decentralized optimization problem. The challenge to solve such a problem is that the worst case of the problem is NP-hard and some time, there are also privacy concerns that prohibit sharing of machine information. Following the spirit of ordinal optimization and swarm intellignce, a decentralized simulation based random algorithm is proposed and the proof of convergence is outlined. Numerical examples will be provided to demonstrate the effectivenenss of the solution. The power of this swarm intelligence solution is that only limited communications between neighors are needed, and it can generate optimal solutions once the toplogy of the system is changed.