Md. Asafuddoula

23 papers A 1B 6C 1Misc 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2018 J jnl
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
2018 J jnl
An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors.
IEEE Trans. Cybern.
Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray
2017 B conf
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.
IJCNN
Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
2017 J jnl
Efficient Use of Partially Converged Simulations in Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Jürgen Branke, Md. Asafuddoula, Kalyan Shankar Bhattacharjee, Tapabrata Ray
2016 — conf
A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization.
GECCO (Companion)
Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray
2016 Misc conf
Impact of Automatic Feature Extraction in Deep Learning Architecture.
DICTA
Fatma Shaheen, Brijesh K. Verma, Md. Asafuddoula
2015 J jnl
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization.
IEEE Trans. Evol. Comput.
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2015 J jnl
A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints.
Appl. Soft Comput.
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2015 J jnl
An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems.
Appl. Math. Comput.
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2015 A conf
Characterizing Pareto Front Approximations in Many-objective Optimization.
GECCO
Md. Asafuddoula, Tapabrata Ray, Hemant Kumar Singh
2015 B conf
Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems.
CEC
Md. Asafuddoula, Tapabrata Ray, Amitay Isaacs, Hemant Kumar Singh
2015 — conf
Re-design for Robustness: An Approach Based on Many Objective Optimization.
EMO (2)
Hemant K. Singh, Md. Asafuddoula, Khairul Alam, Tapabrata Ray
2015 J jnl
Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm.
IEEE Trans. Evol. Comput.
Md. Asafuddoula, Hemant K. Singh, Tapabrata Ray
2014 J jnl
An adaptive hybrid differential evolution algorithm for single objective optimization.
Appl. Math. Comput.
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2014 — —
Development of algorithms to solve different key challenges facing design optimization.
Md. Asafuddoula
2014 B conf
Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M).
IEEE Congress on Evolutionary Computation
Hemant Kumar Singh, Md. Asafuddoula, Tapabrata Ray
2013 C conf
A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control.
EMO
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2013 B conf
A steady state decomposition based quantum genetic algorithm for many objective optimization.
IEEE Congress on Evolutionary Computation
Tapabrata Ray, Md. Asafuddoula, Amitay Isaacs
2013 — conf
An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations.
GECCO (Companion)
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2013 — conf
Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set.
SDE
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2012 — conf
A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing.
Australasian Conference on Artificial Intelligence
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker
2012 B conf
An adaptive constraint handling approach embedded MOEA/D.
IEEE Congress on Evolutionary Computation
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker, Khairul Alam
2011 B conf
An adaptive differential evolution algorithm and its performance on real world optimization problems.
IEEE Congress on Evolutionary Computation
Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker