Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations. - Jiangjun Tang; Sameer Alam; Hussein A. Abbass; Chris Lokan (GEC Summit, 2009)

Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms. - Wenjing Zhao; Jiangjun Tang; Sameer Alam; Axel Bender; Hussein A. Abbass (DIPES/BICC, 2010)

Aviation emission inventory development and analysis. - Viet Van Pham; Jiangjun Tang; Sameer Alam; Chris Lokan; Hussein A. Abbass (Environ. Model. Softw., 2010)

A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities. - Jiangjun Tang; Sameer Alam; Chris Lokan; Hussein A. Abbass (IEEE Congress on Evolutionary Computation, 2012)

Large Scale Multi-Objective Optimization for Dynamic Airspace Sectorization. - Jiangjun Tang (2012)

An evolutionary goal-programming approach towards scenario design for air-traffic human-performance experiments. - Rubai Amin; Jiangjun Tang; Mohamed Ellejmi; Stephen Kirby; Hussein A. Abbass (CIVTS, 2013)

Trading-off simulation fidelity and optimization accuracy in air-traffic experiments using differential evolution. - Rubai Amin; Jiangjun Tang; Mohamed Ellejmi; Stephen Kirby; Hussein A. Abbass (IEEE Congress on Evolutionary Computation, 2014)

Behavioral learning of aircraft landing sequencing using a society of Probabilistic Finite state Machines. - Jiangjun Tang; Hussein A. Abbass (IEEE Congress on Evolutionary Computation, 2014)

An interactive evolutionary computation framework controlled via EEG signals. - Shen Ren; Jiangjun Tang; Michael Barlow 001; Hussein A. Abbass (FUZZ-IEEE, 2014)

On the Role of Working Memory in Trading-Off Skills and Situation Awareness in Sudoku. - George Leu; Jiangjun Tang; Hussein A. Abbass (ICONIP (3), 2014)

Visual and auditory reaction time for air traffic controllers using quantitative electroencephalograph (QEEG) data. - Hussein A. Abbass; Jiangjun Tang; Mohamed Ellejmi; Stephen Kirby (Brain Informatics, 2014)

Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-Based Swarm Intelligence Model. - Jiangjun Tang; Eleni Petraki; Hussein A. Abbass (ICSI (1), 2016)

Networking the Boids Is More Robust Against Adversarial Learning. - Jiangjun Tang; George Leu; Hussein A. Abbass (IEEE Trans. Netw. Sci. Eng., 2018)

Survivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation. - George Leu; Jiangjun Tang (CEC, 2019)

Optimisation of Air-Ground Swarm Teaming for Target Search Using Differential Evolution. - Jiangjun Tang; George Leu; Yubin Yang (SSCI, 2019)

Comparison of Infrastructure and AdHoc Modes in Survivable Networks Enabled by Evolutionary Swarms. - George Leu; Jiangjun Tang (ICSI (1), 2019)

An Airspace Collision Risk Simulator for Safety Assessment. - Jiangjun Tang; Hussein A. Abbass; Sameer Alam (WSC, 2019)

On educating machines. - George Leu; Jiangjun Tang (CoRR, 2019)

A Modified Q-Learning Algorithm for Control of Two-Qubit Systems. - Omar Shindi; Qi Yu 006; Daoyi Dong; Jiangjun Tang (ICMLC, 2020)

Survivable networks via on-line real-time evolution of dual air-ground swarm. - Jiangjun Tang; George Leu (Swarm Evol. Comput., 2020)