| Solving a multiobjective job shop scheduling problem using Pareto Archived Cuckoo Search S Hanoun, S Nahavandi, D Creighton, H Kull Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012 | 30 | 2012 |
| Target coverage in camera networks for manufacturing workplaces S Hanoun, A Bhatti, D Creighton, S Nahavandi, P Crothers, CG Esparza Journal of intelligent manufacturing 27 (6), 1221-1235, 2016 | 18 | 2016 |
| An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility S Hanoun, B Khan, M Johnstone, S Nahavandi, D Creighton 2013 11th IEEE International Conference on Industrial Informatics (INDIN …, 2013 | 18 | 2013 |
| Validation of Polar OH1 optical heart rate sensor for moderate and high intensity physical activities IT Hettiarachchi, S Hanoun, D Nahavandi, S Nahavandi PloS one 14 (5), e0217288, 2019 | 15 | 2019 |
| Application of an evolutionary algorithm-based ensemble model to job-shop scheduling CJ Tan, SC Neoh, CP Lim, S Hanoun, WP Wong, CK Loo, L Zhang, ... Journal of Intelligent Manufacturing 30 (2), 879-890, 2019 | 14 | 2019 |
| A hybrid cuckoo search and variable neighborhood descent for single and multiobjective scheduling problems S Hanoun, D Creighton, S Nahavandi The International Journal of Advanced Manufacturing Technology 75 (9-12 …, 2014 | 14 | 2014 |
| Current and future methodologies of after action review in simulation-based training S Hanoun, S Nahavandi 2018 Annual IEEE International Systems Conference (SysCon), 1-6, 2018 | 12 | 2018 |
| Decentralized mobility models for data collection in wireless sensor networks S Hanoun, D Creighton, S Nahavandi 2008 IEEE International Conference on Robotics and Automation, 1030-1035, 2008 | 11 | 2008 |
| Improved NSGA-III using neighborhood information and scalarization B Khan, M Johnstone, S Hanoun, CP Lim, D Creighton, S Nahavandi 2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016 | 10 | 2016 |
| A scalarization-based dominance evolutionary algorithm for many-objective optimization B Khan, S Hanoun, M Johnstone, CP Lim, D Creighton, S Nahavandi Information Sciences 474, 236-252, 2019 | 9 | 2019 |
| A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing CJ Tan, S Hanoun, CP Lim 2015 Annual IEEE Systems Conference (SysCon) Proceedings, 170-174, 2015 | 9 | 2015 |
| A greedy heuristic and simulated annealing approach for a bicriteria flowshop scheduling problem with precedence constraints—a practical manufacturing case S Hanoun, S Nahavandi The International Journal of Advanced Manufacturing Technology 60 (9-12 …, 2012 | 9 | 2012 |
| A multiobjective state transition algorithm for single machine scheduling X Zhou, S Hanoun, DY Gao, S Nahavandi Advances in global optimization, 79-88, 2015 | 8 | 2015 |
| Dynamic route construction for mobile collectors in wireless sensor networks S Hanoun, S Nahavandi International Conference on Intelligent Robotics and Applications, 824-833, 2008 | 8 | 2008 |
| A review of individual operational cognitive readiness: theory development and future directions L Crameri, I Hettiarachchi, S Hanoun Human factors, 0018720819868409, 2019 | 7 | 2019 |
| Pareto archived simulated annealing for single machine job shop scheduling with multiple objectives S Hanoun, S Nahavandi, H Kull The Sixth International Multi-Conference on Computing in the Global …, 2011 | 7 | 2011 |
| Towards more accessible physiological data for assessment of cognitive load-a validation study I Hettiarachchi, S Hanoun, D Nahavandi, J Iskander, M Hossny, ... 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 6 | 2018 |
| Eye behaviour as a hazard perception measure J Iskander, S Hanoun, I Hettiarachchi, M Hossny, K Saleh, H Zhou, ... 2018 Annual IEEE International Systems Conference (SysCon), 1-6, 2018 | 6 | 2018 |
| A new decomposition-based evolutionary framework for many-objective optimization B Khan, S Hanoun, M Johnstone, CP Lim, D Creighton, S Nahavandi 2017 Annual IEEE International Systems Conference (SysCon), 1-7, 2017 | 6 | 2017 |
| Optimal feature subset selection for neuron spike sorting using the genetic algorithm B Khan, A Bhatti, M Johnstone, S Hanoun, D Creighton, S Nahavandi International Conference on Neural Information Processing, 364-370, 2015 | 6 | 2015 |
Professor Saeid NahavandiIEEE Fellow, Director, Institute for Intelligent Systems Research and Innovation (IISRI), DeakinVerified email at deakin.edu.au
