| 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 | 415* | |
| 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 | 155 | 2016 |
| 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 | 125 | 2012 |
| An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors M Asafuddoula, HK Singh, T Ray IEEE Transactions on Cybernetics, 1 - 14, 2017 | 115 | 2017 |
| 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 | 88 | 2014 |
| 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 | 60 | 2011 |
| An adaptive hybrid differential evolution algorithm for single objective optimization M Asafuddoula, T Ray, R Sarker Applied Mathematics and Computation 231, 601-618, 2014 | 55 | 2014 |
| A decomposition based evolutionary algorithm for many objective optimization with systematic sampling and adaptive epsilon control M Asafuddoula, T Ray, R Sarker Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO …, 2013 | 44 | 2013 |
| 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 | 43 | 2017 |
| Efficient use of partially converged simulations in evolutionary optimization J Branke, M Asafuddoula, KS Bhattacharjee, T Ray IEEE Transaction on Evolutionary Computation, 2016 | 33 | 2016 |
| 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 | 29 | 2017 |
| 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 | 21 | 2013 |
| 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 | 17 | 2015 |
| 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 | 16 | 2015 |
| 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 | 13 | 2013 |
| 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 | 11 | 2015 |
| A self-adaptive differential evolution algorithm with constraint sequencing M Asafuddoula, T Ray, R Sarker AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012 | 11 | 2012 |
| 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 | 10 | 2015 |
| 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 | 9 | 2014 |
| A differential evolution algorithm with constraint sequencing M Asafuddoula, T Ray, R Sarker 2012 Third Global Congress on Intelligent Systems, 68-71, 2012 | 5 | 2012 |
Professor Tapabrata RayUniversity of New South Wales, CanberraVerifisert e-postadresse på adfa.edu.au