Multi-Objective Optimization in Computational Intelligence: Theory and Practice: Theory and Practice L Thu Bui, S Alam IGI Global, 2008 | 85 | 2008 |
Identification of ADS-B system vulnerabilities and threats L Purton, H Abbass, S Alam Australian Transport Research Forum, Canberra, 1-16, 2010 | 77 | 2010 |
Atoms: Air traffic operations and management simulator S Alam, HA Abbass, M Barlow IEEE Transactions on intelligent transportation systems 9 (2), 209-225, 2008 | 59 | 2008 |
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 | 55 | 2012 |
An ensemble approach for conflict detection in free flight by data mining S Alam, K Shafi, HA Abbass, M Barlow Transportation research part C: emerging technologies 17 (3), 298-317, 2009 | 55 | 2009 |
A complex network approach towards modeling and analysis of the Australian Airport Network MM Hossain, S Alam Journal of Air Transport Management 60, 1-9, 2017 | 48 | 2017 |
MEBRA: multiobjective evolutionary-based risk assessment HA Abbass, S Alam, A Bender IEEE Computational Intelligence Magazine 4 (3), 29-36, 2009 | 41 | 2009 |
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 | 39 | 2010 |
Australian airport network robustness analysis: a complex network approach M Hossain, S Alam, T Rees, H Abbass Australasian Transport Research Forum (ATRF), 36th, 2013 | 34 | 2013 |
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 | 31 | 2012 |
A dynamic continuous descent approach methodology for low noise and emission S Alam, MH Nguyen, HA Abbass, C Lokan, M Ellejmi, S Kirby 29th Digital Avionics Systems Conference, 1. E. 5-1-1. E. 5-18, 2010 | 31 | 2010 |
An introduction to multi-objective optimization LT Bui, S Alam Multi-objective optimization in computational intelligence: Theory and …, 2008 | 31 | 2008 |
Computational red teaming to investigate failure patterns in medium term conflict detection S Alam, HA Abbass, CJ Lokan, M Ellejmi, S Kirby 8th Eurocontrol Innovation Research Workshop, Eurocontrol Experimental …, 2009 | 26 | 2009 |
MOCCA-II: A multi-objective co-operative co-evolutionary algorithm W Zhao, S Alam, HA Abbass Applied Soft Computing 23, 407-416, 2014 | 25 | 2014 |
Systemic identification of airspace collision risk tipping points using an evolutionary multi-objective scenario-based methodology S Alam, C Lokan, G Aldis, S Barry, R Butcher, H Abbass Transportation research part C: emerging technologies 35, 57-84, 2013 | 19 | 2013 |
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 | 16 | 2012 |
Pareto meta-heuristics for generating safe flight trajectories under weather hazards S Alam, LT Bui, HA Abbass, M Barlow Asia-Pacific Conference on Simulated Evolution and Learning, 829-836, 2006 | 16 | 2006 |
Evaluating ground–air network vulnerabilities in an integrated terminal maneuvering area using co-evolutionary computational red teaming W Zhao, S Alam, HA Abbass Transportation research part C: Emerging technologies 29, 32-54, 2013 | 15 | 2013 |
What can make an airspace unsafe? characterizing collision risk using multi-objective optimization S Alam, C Lokan, H Abbass 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 14 | 2012 |
Multi-aircraft dynamic continuous descent approach methodology for low-noise and emission guidance S Alam, MH Nguyen, HA Abbass, C Lokan, M Ellejmi, S Kirby Journal of aircraft 48 (4), 1225-1237, 2011 | 13 | 2011 |