Newton M A Hakim
Newton M A Hakim
Vahvistettu sähköpostiosoite verkkotunnuksessa griffith.edu.au - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning Macro-Actions for Arbitrary Planners and Domains.
MAH Newton, J Levine, M Fox, D Long
ICAPS (Nominated for Best Paper), 256-263, 2007
1162007
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
382011
Scatter search for mixed blocking flowshop scheduling
V Riahi, M Khorramizadeh, MAH Newton, A Sattar
Expert Systems with Applications 79, 20-32, 2017
302017
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
252008
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
242012
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
222013
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
202013
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
192013
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
182013
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
182005
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
152019
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
142013
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
132012
Implicit Learning of Compiled Macro-Actions for Planning.
MAH Newton, J Levine
ECAI, 323-328, 2010
132010
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
122013
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
102019
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
102018
Constraint-based local search for golomb rulers
MMA Polash, MAH Newton, A Sattar
International Conference on AI and OR Techniques in Constriant Programming …, 2015
92015
How good are simplified models for protein structure prediction?
S Shatabda, MA Newton, MA Rashid, DN Pham, A Sattar
Advances in bioinformatics 2014, 2014
92014
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Artikkelit 1–20