no code implementations • 13 Sep 2019 • Jiangjun Tang, George Leu, Yu-Bin Yang
Results are encouraging, showing a good evolution of the fitness function used as part of the differential evolution, and a good performance of the evolved dual-swarm system, which exhibits an optimal trade-off between target reaching and connectivity.
no code implementations • 13 Sep 2019 • George Leu, Jiangjun Tang
Machine education is an emerging research field that focuses on the problem which is inverse to machine learning.
no code implementations • 27 Feb 2018 • Jiangjun Tang, Hussein A. Abbass
The objective of this paper is to test the hypothesis that one can learn from the sequence adopted by the controller some strategies that can act as heuristics in decision support tools for aircraft sequencing.
no code implementations • 27 Feb 2018 • 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).
no code implementations • 26 Feb 2018 • Jiangjun Tang, Eleni Petraki, Hussein Abbass
Influencing and shaping are social operators acting on sociotechnical systems to design a change.
