Md. Asafuddoula

Brijesh K. Verma

Mengjie Zhang

IEEE Trans. Evol. Comput., 2018

An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

2017

Efficient Use of Partially Converged Simulations in Evolutionary Optimization.

[BibT_eX]

[DOI]

Jürgen Branke

Kalyan Shankar Bhattacharjee

IEEE Trans. Evol. Comput., 2017

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.

[BibT_eX]

[DOI]

Brijesh K. Verma

Mengjie Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Impact of Automatic Feature Extraction in Deep Learning Architecture.

[BibT_eX]

[DOI]

Fatma Shaheen

Brijesh K. Verma

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015

Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm.

[BibT_eX]

[DOI]

Hemant K. Singh

IEEE Trans. Evol. Comput., 2015

A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2015

A differential evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

An Improved Self-Adaptive Constraint Sequencing approach for constrained optimization problems.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2015

Characterizing Pareto Front Approximations in Many-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Re-design for Robustness: An Approach Based on Many Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

An adaptive hybrid differential evolution algorithm for single objective optimization.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2014

Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M).

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Evaluate till you violate: A differential evolution algorithm based on partial evaluation of the constraint set.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluations.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A Decomposition Based Evolutionary Algorithm for Many Objective Optimization with Systematic Sampling and Adaptive Epsilon Control.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A steady state decomposition based quantum genetic algorithm for many objective optimization.

[BibT_eX]

[DOI]

Amitay Isaacs

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

An adaptive constraint handling approach embedded MOEA/D.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Self-adaptive Differential Evolution Algorithm with Constraint Sequencing.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

An adaptive differential evolution algorithm and its performance on real world optimization problems.

[BibT_eX]

[DOI]