| Scoring Users' Privacy Disclosure Across Multiple Online Social Networks E Aghasian, Garg, S., L Gao, S Yu, J Montgomery IEEE Access 5, 13118-13130, 2017 | 401 | 2017 |
| Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution S Chen, J Montgomery, A Bolufé-Röhler Applied Intelligence 42 (3), 514-526, 2015 | 210 | 2015 |
| Anti-pheromone as a tool for better exploration of search space J Montgomery, M Randall Ant Algorithms, 100-110, 2002 | 102 | 2002 |
| An analysis of the operation of differential evolution at high and low crossover rates J Montgomery, S Chen Evolutionary Computation (CEC), 2010 IEEE Congress on, 881-888, 2010 | 80 | 2010 |
| Forest Structural Complexity Tool—An Open Source, Fully-Automated Tool for Measuring Forest Point Clouds S Krisanski, MS Taskhiri, S Gonzalez Aracil, D Herries, A Muneri, ... Remote Sensing 13 (22), 4677, 2021 | 60 | 2021 |
| An efficient resource monitoring service for fog computing environments SK Battula, S Garg, J Montgomery, B Kang IEEE Transactions on Services Computing 13 (4), 709-722, 2019 | 55 | 2019 |
| Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting D Van Le, J Montgomery, KC Kirkby, J Scanlan Journal of biomedical informatics 86, 49-58, 2018 | 50 | 2018 |
| Bioacoustics data analysis–A taxonomy, survey and open challenges RR Kvsn, J Montgomery, S Garg, M Charleston IEEE Access 8, 57684-57708, 2020 | 47 | 2020 |
| Candidate set strategies for ant colony optimisation M Randall, J Montgomery Ant Algorithms, 95-120, 2002 | 42 | 2002 |
| Automatic rain and cicada chorus filtering of bird acoustic data A Brown, S Garg, J Montgomery Applied Soft Computing 81, 105501, 2019 | 39 | 2019 |
| An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution S Chen, A Bolufé-Röhler, J Montgomery, T Hendtlass 2019 IEEE Congress on Evolutionary Computation (CEC), 3037-3044, 2019 | 37 | 2019 |
| Solution representation for job shop scheduling problems in ant colony optimisation J Montgomery, C Fayad, S Petrovic International Workshop on Ant Colony Optimization and Swarm Intelligence …, 2006 | 37 | 2006 |
| Solution bias in ant colony optimisation: Lessons for selecting pheromone models J Montgomery, M Randall, T Hendtlass Computers & Operations Research 35 (9), 2728-2749, 2008 | 34 | 2008 |
| A simple strategy to maintain diversity and reduce crowding in particle swarm optimization S Chen, J Montgomery AI 2011: Advances in artificial intelligence: Proceedings of the 24th …, 2011 | 33 | 2011 |
| The accumulated experience ant colony for the traveling salesman problem J Montgomery, M Randall International Journal of Computational Intelligence and Applications 3 (2 …, 2003 | 32* | 2003 |
| Storing and retrieving software components: a component description manager R Meling, EJ Montgomery, PS Ponnusamy, EB Wong, D Mehandjiska Proceedings 2000 Australian Software Engineering Conference, 107-117, 2000 | 32 | 2000 |
| Automatic and Efficient Denoising of Bioacoustics Recordings Using MMSE STSA A Brown, G Saurabh, J Montgomery IEEE Access 6, 5010-5022, 2017 | 31 | 2017 |
| Particle swarm optimization with thresheld convergence S Chen, J Montgomery 2013 IEEE Congress on Evolutionary Computation (CEC), 510-516, 2013 | 28 | 2013 |
| Selection strategies for initial positions and initial velocities in multi-optima particle swarms S Chen, J Montgomery Evolutionary Computation (GECCO’11) 12, 53-60, 2011 | 28 | 2011 |
| Crossover and the different faces of differential evolution searches J Montgomery Evolutionary Computation (CEC), 2010 IEEE Congress on, 1804-1811, 2010 | 28 | 2010 |
Saurabh GargSchool of Computing and Information Systems, University of TasmaniaVerified email at utas.edu.au
