An adaptive differential evolution algorithm and its performance on real world optimization problems. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (IEEE Congress on Evolutionary Computation, 2011)

A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (Australasian Conference on Artificial Intelligence, 2012)

An adaptive constraint handling approach embedded MOEA/D. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker; Khairul Alam (IEEE Congress on Evolutionary Computation, 2012)

A steady state decomposition based quantum genetic algorithm for many objective optimization. - Tapabrata Ray; Md. Asafuddoula; Amitay Isaacs (IEEE Congress on Evolutionary Computation, 2013)

A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (EMO, 2013)

An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (GECCO (Companion), 2013)

Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (SDE, 2013)

Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M). - Hemant Kumar Singh; Md. Asafuddoula; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2014)

An adaptive hybrid differential evolution algorithm for single objective optimization. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (Appl. Math. Comput., 2014)

Development of algorithms to solve different key challenges facing design optimization. - Md. Asafuddoula (2014)

Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems. - Md. Asafuddoula; Tapabrata Ray; Amitay Isaacs; Hemant Kumar Singh (CEC, 2015)

Re-design for Robustness: An Approach Based on Many Objective Optimization. - Hemant K. Singh; Md. Asafuddoula; Khairul Alam; Tapabrata Ray (EMO (2), 2015)

Characterizing Pareto Front Approximations in Many-objective Optimization. - Md. Asafuddoula; Tapabrata Ray; Hemant Kumar Singh (GECCO, 2015)

An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (Appl. Math. Comput., 2015)

A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (Appl. Soft Comput., 2015)

A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization. - Md. Asafuddoula; Tapabrata Ray; Ruhul A. Sarker (IEEE Trans. Evol. Comput., 2015)

Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm. - Md. Asafuddoula; Hemant K. Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2015)

Impact of Automatic Feature Extraction in Deep Learning Architecture. - Fatma Shaheen; Brijesh K. Verma; Md. Asafuddoula (DICTA, 2016)

A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. - Md. Asafuddoula; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2016)

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. - Md. Asafuddoula; Brijesh K. Verma; Mengjie Zhang 001 (IJCNN, 2017)

Efficient Use of Partially Converged Simulations in Evolutionary Optimization. - Jürgen Branke; Md. Asafuddoula; Kalyan Shankar Bhattacharjee; Tapabrata Ray (IEEE Trans. Evol. Comput., 2017)

An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors. - Md. Asafuddoula; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Cybern., 2018)

A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. - Md. Asafuddoula; Brijesh K. Verma; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2018)