6 citations · 10 across the 7 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2019
Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution
Jiangjun Tang, George Leu, Yu-Bin Yang
This paper presents a swarm teaming perspective that enhances the scope of classic investigations on survivable networks. A target searching generic context is considered as test-b…
cs.NE2018
Networking the Boids is More Robust Against Adversarial Learning
Jiangjun Tang, George Leu, Hussein Abbass
Swarm behavior using Boids-like models has been studied primarily using close-proximity spatial sensory information (e.g. vision range). In this study, we propose a novel approach…
cs.NE2018
Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines
Jiangjun Tang, Hussein A. Abbass
Air Traffic Control (ATC) is a complex safety critical environment. A tower controller would be making many decisions in real-time to sequence aircraft. While some optimization too…