Ruhul Sarker
Ruhul Sarker
Professor, University of New South Wales - Australia, Canberra
E-mail megerősítve itt: adfa.edu.au - Kezdőlap
Hivatkozott rá
Hivatkozott rá
PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems
HA Abbass, R Sarker, C Newton
Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001
A decomposition-based evolutionary algorithm for many objective optimization
M Asafuddoula, T Ray, R Sarker
IEEE Transactions on Evolutionary Computation 19 (3), 445-460, 2014
Differential evolution with dynamic parameters selection for optimization problems
RA Sarker, SM Elsayed, T Ray
IEEE Transactions on Evolutionary Computation 18 (5), 689-707, 2013
The Pareto differential evolution algorithm
HA Abbass, R Sarker
International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002
Evolutionary optimization
R Sarker, M Mohammadian, X Yao
Springer Science & Business Media, 2002
Optimization of maintenance and spare provisioning policy using simulation
R Sarker, A Haque
Applied Mathematical Modelling 24 (10), 751-760, 2000
A new genetic algorithm for solving optimization problems
SM Elsayed, RA Sarker, DL Essam
Engineering Applications of Artificial Intelligence 27, 57-69, 2014
Multi-operator based evolutionary algorithms for solving constrained optimization problems
SM Elsayed, RA Sarker, DL Essam
Computers & operations research 38 (12), 1877-1896, 2011
Optimization modelling: a practical approach
RA Sarker, CS Newton
CRC press, 2007
An improved evolutionary algorithm for solving multi-objective crop planning models
R Sarker, T Ray
Computers and electronics in agriculture 68 (2), 191-199, 2009
Forecasting of currency exchange rates using ANN: A case study
J Kamruzzaman, RA Sarker
International Conference on Neural Networks and Signal Processing, 2003 …, 2003
An improved self-adaptive differential evolution algorithm for optimization problems
SM Elsayed, RA Sarker, DL Essam
IEEE Transactions on Industrial Informatics 9 (1), 89-99, 2012
Memetic algorithms for solving job-shop scheduling problems
SM Hasan, R Sarker, D Essam, D Cornforth
Memetic Computing 1 (1), 69-83, 2009
Artificial neural networks in finance and manufacturing
J Kamruzzaman, R Begg, R Sarker
IGI Global, 2006
Data Mining: A Heuristic Approach: A Heuristic Approach
HA Abbass, R Sarker, CS Newton
IGI global, 2001
Evolutionary algorithms for dynamic economic dispatch problems
MF Zaman, SM Elsayed, T Ray, RA Sarker
IEEE Transactions on Power Systems 31 (2), 1486-1495, 2015
GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems
SM Elsayed, RA Sarker, DL Essam
2011 IEEE congress of evolutionary computation (CEC), 1034-1040, 2011
A new multiobjective evolutionary algorithm
R Sarker, KH Liang, C Newton
European Journal of Operational Research 140 (1), 12-23, 2002
A recovery model for a two-echelon serial supply chain with consideration of transportation disruption
H Hishamuddin, RA Sarker, D Essam
Computers & Industrial Engineering 64 (2), 552-561, 2013
An optimal batch size for a production system operating under periodic delivery policy
RA Sarker, LR Khan
Computers & Industrial Engineering 37 (4), 711-730, 1999
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