A multi-objective approach for dynamic airspace sectorization using agent based and geometric models J Tang, S Alam, C Lokan, HA Abbass Transportation research part C: Emerging technologies 21 (1), 89-121, 2012 | 90 | 2012 |
Augmented cognition using real-time EEG-based adaptive strategies for air traffic control HA Abbass, J Tang, R Amin, M Ellejmi, S Kirby Proceedings of the human factors and ergonomics society annual meeting 58 (1 …, 2014 | 82 | 2014 |
Aviation emission inventory development and analysis V Van Pham, J Tang, S Alam, C Lokan, HA Abbass Environmental Modelling & Software 25 (12), 1738-1753, 2010 | 63 | 2010 |
A multi-objective evolutionary method for dynamic airspace re-sectorization using sectors clipping and similarities J Tang, S Alam, C Lokan, HA Abbass 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 40 | 2012 |
Simulation and Computational Red Teaming for Problem Solving J Tang, G Leu, HA Abbass John Wiley & Sons, 2019 | 17 | 2019 |
Discovering delay patterns in arrival traffic with dynamic continuous descent approaches using co-evolutionary red teaming S Alam, W Zhao, J Tang, C Lokan, H Abbass, M Ellejmi, S Kirby Air Traffic Control Quarterly 20 (1), 47-71, 2012 | 17 | 2012 |
Networking the boids is more robust against adversarial learning J Tang, G Leu, HA Abbass IEEE Transactions on Network Science and Engineering 5 (2), 141-155, 2017 | 16 | 2017 |
Optimal allocation of node capacity in cascade-robustness networks Z Chen, J Zhang, WB Du, O Lordan, J Tang Plos one 10 (10), e0141360, 2015 | 16 | 2015 |
Survivable networks via UAV swarms guided by decentralized real-time evolutionary computation G Leu, J Tang 2019 IEEE congress on evolutionary computation (CEC), 1945-1952, 2019 | 11 | 2019 |
Machine education-the way forward for achieving trust-enabled machine agents G Leu, E Lakshika, J Tang, K Merrick, M Barlow NIPS’17 Workshop: Teaching Machines, Robots, and Humans, 2017 | 9 | 2017 |
Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data HA Abbass, J Tang, M Ellejmi, S Kirby Brain informatics 1, 39-45, 2014 | 9 | 2014 |
An assessment of BADA fuel flow methodologies for in-trail procedure evaluation S Alam, J Tang, CJ Lokan, HA Abbass Defence & Security Applications Research Centre, University of New South …, 2009 | 9 | 2009 |
Discrete-Event Simulation H Wan | 9 | 2000 |
Evolutionary-computation based risk assessment of aircraft landing sequencing algorithms W Zhao, J Tang, S Alam, A Bender, HA Abbass IFIP Working Conference on Distributed and Parallel Embedded Systems, 254-265, 2010 | 8 | 2010 |
Trading-off simulation fidelity and optimization accuracy in air-traffic experiments using differential evolution R Amin, J Tang, M Ellejmi, S Kirby, HA Abbass 2014 IEEE Congress on Evolutionary Computation (CEC), 475-482, 2014 | 7 | 2014 |
Behavioral learning of aircraft landing sequencing using a society of probabilistic finite state machines J Tang, HA Abbass 2014 IEEE Congress on Evolutionary Computation (CEC), 610-617, 2014 | 6 | 2014 |
Computational red teaming for correction of traffic events in real time human performance studies R Amin, J Tang, M Ellejmi, S Kirby, HA Abbass Proceedings of 10th USA/Europe Air Traffic Management Research and …, 2013 | 6 | 2013 |
Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations J Tang, S Alam, H Abbass, C Lokan Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary …, 2009 | 6 | 2009 |
Ants-inspired dynamic weather avoidance trajectories in a traffic constrained en route airspace MH Nguyen, S Alam, J Tang, H Abbass Proceedings of the 6th Eurocontrol Innovative Research Workshop and …, 2007 | 6 | 2007 |
An evolutionary goal-programming approach towards scenario design for air-traffic human-performance experiments R Amin, J Tang, M Ellejmi, S Kirby, HA Abbass 2013 IEEE Symposium on Computational Intelligence in Vehicles and …, 2013 | 5 | 2013 |