| Learning Macro-Actions for Arbitrary Planners and Domains. MAH Newton, J Levine, M Fox, D Long ICAPS (Nominated for Best Paper), 256-263, 2007 | 116 | 2007 |
| Kangaroo: An efficient constraint-based local search system using lazy propagation M Newton, D Pham, A Sattar, M Maher Principles and Practice of Constraint Programming–CP 2011, 645-659, 2011 | 38 | 2011 |
| Scatter search for mixed blocking flowshop scheduling V Riahi, M Khorramizadeh, MAH Newton, A Sattar Expert Systems with Applications 79, 20-32, 2017 | 30 | 2017 |
| A new genetic algorithm for simplified protein structure prediction MA Rashid, MT Hoque, MAH Newton, DN Pham, A Sattar Australasian Joint Conference on Artificial Intelligence, 107-119, 2012 | 26* | 2012 |
| A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem AZM Shahriar, MM Akbar, MS Rahman, MAH Newton The Journal of Supercomputing 43 (3), 257-280, 2008 | 25 | 2008 |
| Memory-based local search for simplified protein structure prediction S Shatabda, MAH Newton, DN Pham, A Sattar Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | 24 | 2012 |
| Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice MA Rashid, MAH Newton, MT Hoque, S Shatabda, DN Pham, A Sattar BMC bioinformatics 14 (2), 1-13, 2013 | 22 | 2013 |
| Mixed heuristic local search for protein structure prediction S Shatabda, MA Newton, A Sattar Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013 | 20 | 2013 |
| Mixing energy models in genetic algorithms for on-lattice protein structure prediction MA Rashid, MA Newton, M Hoque, A Sattar BioMed research international 2013, 2013 | 19 | 2013 |
| The road not taken: retreat and diverge in local search for simplified protein structure prediction S Shatabda, MAH Newton, MA Rashid, DN Pham, A Sattar BMC bioinformatics 14 (2), 1-9, 2013 | 18 | 2013 |
| Genetically evolved macro-actions in AI planning problems M Newton, J Levine, M Fox Proceedings of the 24th UK Planning and Scheduling SIG, 163-172, 2005 | 18 | 2005 |
| Efficient toxicity prediction via simple features using shallow neural networks and decision trees A Karim, A Mishra, MAH Newton, A Sattar Acs Omega 4 (1), 1874-1888, 2019 | 15 | 2019 |
| An efficient encoding for simplified protein structure prediction using genetic algorithms S Shatabda, MAH Newton, MA Rashid, A Sattar 2013 IEEE Congress on Evolutionary Computation, 1217-1224, 2013 | 14 | 2013 |
| Random-walk: a stagnation recovery technique for simplified protein structure prediction MA Rashid, S Shatabda, MAH Newton, MT Hoque, DN Pham, A Sattar Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | 13 | 2012 |
| Implicit Learning of Compiled Macro-Actions for Planning. MAH Newton, J Levine ECAI, 323-328, 2010 | 13 | 2010 |
| A local search embedded genetic algorithm for simplified protein structure prediction MA Rashid, MAH Newton, MT Hoque, A Sattar 2013 IEEE congress on evolutionary computation, 1091-1098, 2013 | 12 | 2013 |
| Constraint guided accelerated search for mixed blocking permutation flowshop scheduling V Riahi, MAH Newton, K Su, A Sattar Computers & Operations Research 102, 102-120, 2019 | 10 | 2019 |
| Local search for flowshops with setup times and blocking constraints V Riahi, MAH Newton, K Su, A Sattar International Conference on Automated Planning and Scheduling (ICAPS), 2018 | 10 | 2018 |
| Constraint-based local search for golomb rulers MMA Polash, MAH Newton, A Sattar International Conference on AI and OR Techniques in Constriant Programming …, 2015 | 9 | 2015 |
| How good are simplified models for protein structure prediction? S Shatabda, MA Newton, MA Rashid, DN Pham, A Sattar Advances in bioinformatics 2014, 2014 | 9 | 2014 |
Abdul SattarProfessor of Computer Science, Griffith UniversityVerified email at griffith.edu.au
