Md Asafuddoula - Concepedia

Author

Md Asafuddoula

UNSW Sydney ORCID

Also Known As

M. Asafuddoula, Md Asafuddoula, Md. Asafuddoula

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

UNSW Sydney University of Canberra Central Queensland University UNSW Canberra Australian Defence Force Academy

About

Md Asafuddoula is an author at UNSW Sydney specializing in engineering, systems engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	952
2	Computer Science	8	8	826
3	Computer Engineering	4	4	179
4	Management	1	1	22
5	Social Sciences	1	1	11

Md Asafuddoula

Publications

Citations

H-Index

Page 1

	Year	Citations
A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization Md Asafuddoula, Tapabrata Ray, Ruhul Sarker IEEE Transactions on Evolutionary Computation Large-scale Global OptimizationComputational ScienceDecomposition-based Evolutionary AlgorithmsMany Objective OptimizationEngineering	2014	402
Impact of Automatic Feature Extraction in Deep Learning Architecture Fatma Shaheen, Brijesh Verma, Md Asafuddoula Image ClassificationConvolutional Neural NetworkImage AnalysisMachine LearningFeature Detection	2016	131
An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors Md Asafuddoula, Hemant Kumar Singh, Tapabrata Ray IEEE Transactions on Cybernetics Mathematical ProgrammingLarge-scale Global OptimizationEngineeringEvolutionary AlgorithmsEvolutionary Multimodal Optimization	2017	114
An adaptive constraint handling approach embedded MOEA/D Md Asafuddoula, Tapabrata Ray, Ruhul Sarker, Sorting Genetic AlgorithmEngineeringAdaptive ConstraintComputer ArchitectureEvolutionary Algorithms	2012	90
Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm Md Asafuddoula, Hemant Kumar Singh, Tapabrata Ray IEEE Transactions on Evolutionary Computation	2014	73
An adaptive hybrid differential evolution algorithm for single objective optimization Md Asafuddoula, Tapabrata Ray, Ruhul Sarker Applied Mathematics and Computation Differential EvolutionEngineeringSingle Objective OptimizationSystems EngineeringHybrid Optimization Technique	2014	42
An adaptive differential evolution algorithm and its performance on real world optimization problems Md Asafuddoula, Tapabrata Ray, Ruhul Sarker Numerical AnalysisDifferential EvolutionLocal SearchEngineeringEvolution Strategy	2011	42
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization Md Asafuddoula, Brijesh Verma, Mengjie Zhang IEEE Transactions on Evolutionary Computation Artificial IntelligenceEngineeringMachine LearningIntelligent SystemsData Science	2017	41
Efficient Use of Partially Converged Simulations in Evolutionary Optimization Juergen Branke, Md Asafuddoula, Kalyan Shankar Bhattacharjee, IEEE Transactions on Evolutionary Computation Numerical AnalysisArtificial IntelligenceEfficient UseEngineeringMachine Learning	2016	31
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison Md Asafuddoula, Brijesh Verma Artificial IntelligenceIncremental LearningEngineeringMachine LearningEnsemble Methods	2017	22

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