Mr Md Asafuddoula

School of Engineering and Information Technology
  • PUBLICATIONS

Journal articles

Branke J; Asafuddoula M; Bhattacharjee KS; Ray T, 2017, 'Efficient Use of Partially Converged Simulations in Evolutionary Optimization', IEEE Transactions on Evolutionary Computation, vol. 21, pp. 52 - 64, 10.1109/TEVC.2016.2569018

Asafuddoula M; Ray T; Sarker R, 2015, 'An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems', Applied Mathematics and Computation, vol. 253, pp. 23 - 39, 10.1016/j.amc.2014.12.032

Ray T; Asafuddoula M; Kumar Singh H; Alam K, 2015, 'An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems', Journal of Mechanical Design, Transactions of the ASME, vol. 137, 10.1115/1.4029704

Asafuddoula M; Ray T; Sarker R, 2015, 'A decomposition-based evolutionary algorithm for many objective optimization', IEEE Transactions on Evolutionary Computation, vol. 19, pp. 445 - 460, 10.1109/TEVC.2014.2339823

Asafuddoula M; Ray T; Sarker R, 2015, 'A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints', Applied Soft Computing Journal, vol. 36, pp. 101 - 113, 10.1016/j.asoc.2015.07.007

Asafuddoula M; Singh HK; Ray T, 2015, 'Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm', IEEE Transactions on Evolutionary Computation, vol. 19, pp. 490 - 507, 10.1109/TEVC.2014.2343791

Asafuddoula M; Ray T; Sarker R, 2014, 'An adaptive hybrid differential evolution algorithm for single objective optimization', Applied Mathematics and Computation, vol. 231, pp. 601 - 618, 10.1016/j.amc.2014.01.041

Asafuddoula M; Ray T; Sarker R, 2013, 'A decomposition based evolutionary algorithm for many objective optimization with systematic sampling and adaptive epsilon control', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7811 LNCS, pp. 413 - 427, 10.1007/978-3-642-37140-0_32

Asafuddoula M; Ray T; Sarker R, 2012, 'A self-adaptive differential evolution algorithm with constraint sequencing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7691 LNAI, pp. 182 - 193, 10.1007/978-3-642-35101-3_16

Conference Papers

Asafuddoula M; Singh HK; Ray T, 2016, 'A CUDA implementation of an improved decomposition based evolutionary algorithm for multi-objective optimization', in GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 71 - 72, presented at , 10.1145/2908961.2908971

Singh H; Asafuddoula M; Alam K; Ray T, 2015, 'Re-design for robustness: An approach based on many objective optimization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 343 - 357, presented at , 10.1007/978-3-319-15892-1_23

Asafuddoula M; Ray T; Singh HK, 2015, 'Characterizing pareto front approximations in many-objective optimization', in GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference, pp. 607 - 614, presented at , 10.1145/2739480.2754701

Asafuddoula M; Ray T; Isaacs A; Singh HK, 2015, 'Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 893 - 899, presented at , 10.1109/CEC.2015.7256985

Singh HK; Asafuddoula M; Ray T, 2014, 'Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M)', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 983 - 990, presented at , 10.1109/CEC.2014.6900239

Ray T; Asafuddoula M; Isaacs A, 2013, 'A steady state decomposition based quantum genetic algorithm for many objective optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, pp. 2817 - 2824, presented at , 10.1109/CEC.2013.6557911

Asafuddoula M; Ray T; Sarker R, 2013, 'An Efficient Constraint Handling Approach for Optimization Problems with Limited Feasibility and Computationally Expensive Constraint Evaluations', in Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, ACM, Amsterdam, The Netherlands, pp. 113 - 114, presented at Genetic and evolutionary computation conference, Amsterdam, The Netherlands, 06 - 10 July 2013, 10.1145/2470000/2464633/p113-asafuddoula.pdf?ip=129.94.181.204&id=2464633&acc=ACTIVE%20SERVICE&key=C2716FEBFA981EF141F8CF9C574B96982649914059E4E6A4&CFID=352091078&CFTOKEN=16779145&__acm__=1375766263_238cc55914e06e8d5159b66b24ae91c1

Asafuddoula M; Ray T; Sarker R, 2013, 'An efficien constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations', in GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion, pp. 113 - 114, presented at , 10.1145/2464576.2464633

Asafuddoula M; Ray T; Sarker R, 2013, 'Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set', in Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, pp. 31 - 37, presented at , 10.1109/SDE.2013.6601439

Asafuddoula M; Ray T; Sarker R, 2012, 'A differential evolution algorithm with constraint sequencing', in Proceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012, pp. 68 - 71, presented at , 10.1109/GCIS.2012.95

Asafuddoula M; Ray T; Sarker R; Alam K, 2012, 'An adaptive constraint handling approach embedded MOEA/D', in 2012 IEEE Congress on Evolutionary Computation, CEC 2012, presented at , 10.1109/CEC.2012.6252868

Asafuddoula M; Ray T; Sarker R, 2011, 'An adaptive differential evolution algorithm and its performance on real world optimization problems', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 1057 - 1062, presented at , 10.1109/CEC.2011.5949734