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Dr. Md. Asafuddoula
Dr. Md. Asafuddoula
Verified email at student.adfa.edu.au
Title
Cited by
Cited by
Year
A Decomposition Based Evolutionary Algorithm for Many Objective Optimization
M Asafuddoula, T Ray, R Sarker
IEEE Transaction on Evolutionary Computation 19 (3), 445-460, 0
318*
An adaptive constraint handling approach embedded MOEA/D
M Asafuddoula, T Ray, R Sarker, K Alam
2012 IEEE congress on evolutionary computation, 1-8, 2012
872012
An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors
M Asafuddoula, HK Singh, T Ray
IEEE Transactions on Cybernetics, 1 - 14, 2017
772017
Impact of automatic feature extraction in deep learning architecture
F Shaheen, B Verma, M Asafuddoula
2016 International conference on digital image computing: techniques and …, 2016
662016
Six-Sigma Robust Design Optimization using a Many-objective Decomposition Based Evolutionary Algorithm
M Asafuddoula, H Singh, T Ray
IEEE Transaction on Evolutionary Computation, 2014
602014
An adaptive differential evolution algorithm and its performance on real world optimization problems
M Asafuddoula, T Ray, R Sarker
2011 IEEE congress of evolutionary computation (CEC), 1057-1062, 2011
582011
An adaptive hybrid differential evolution algorithm for single objective optimization
M Asafuddoula, T Ray, R Sarker
Applied Mathematics and Computation 231, 601-618, 2014
472014
A decomposition based evolutionary algorithm for many objective optimization with systematic sampling and adaptive epsilon control
M Asafuddoula, T Ray, R Sarker
International Conference on Evolutionary Multi-Criterion Optimization, 413-427, 2013
342013
A Divide-and-Conquer Based Ensemble Classifier Learning by Means of Many-Objective Optimization
M Asafuddoula, B Verma, M Zhang
IEEE Transactions on Evolutionary Computation, 2017
302017
Efficient use of partially converged simulations in evolutionary optimization
J Branke, M Asafuddoula, KS Bhattacharjee, T Ray
IEEE Transaction on Evolutionary Computation, 2016
222016
A steady state decomposition based quantum genetic algorithm for many objective optimization
T Ray, M Asafuddoula, A Isaacs
2013 IEEE Congress on Evolutionary Computation, 2817-2824, 2013
222013
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison
M Asafuddoula, B Verma, M Zhang
2017 International Joint Conference on Neural Networks (IJCNN), 1924-1931, 2017
212017
A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints
M Asafuddoula, T Ray, R Sarker
Applied Soft Computing 36, 101-113, 2015
142015
Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set
M Asafuddoula, T Ray, R Sarker
2013 IEEE Symposium on Differential Evolution (SDE), 31-37, 2013
132013
An improved self-adaptive constraint sequencing approach for constrained optimization problems
M Asafuddoula, T Ray, R Sarker
Applied Mathematics and Computation 253, 23-39, 2015
122015
Characterizing Pareto front approximations in many-objective optimization
M Asafuddoula, T Ray, HK Singh
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
102015
An approach to identify six sigma robust solutions of multi/many-objective engineering design optimization problems
T Ray, M Asafuddoula, HK Singh, K Alam
Journal of Mechanical Design 137 (5), 051404, 2015
102015
A self-adaptive differential evolution algorithm with constraint sequencing
M Asafuddoula, T Ray, R Sarker
Australasian Joint Conference on Artificial Intelligence, 182-193, 2012
102012
Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M)
HK Singh, M Asafuddoula, T Ray
2014 IEEE Congress on Evolutionary Computation (CEC), 983-990, 2014
82014
A differential evolution algorithm with constraint sequencing
M Asafuddoula, T Ray, R Sarker
2012 Third Global Congress on Intelligent Systems, 68-71, 2012
52012
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