Azam Asilian Bidgoli

Sevil Zanjani Miyandoab

Hamid R. Tizhoosh

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Opposition-Based Crossover Operation for Differential Evolution Algorithm.

[BibT_eX]

[DOI]

Sevda Ebrahimi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Multi-Objective Binary Coordinate Search for Feature Selection.

[BibT_eX]

[DOI]

Sevil Zanjani Miyandoab

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Compact NSGA-II for Multi-objective Feature Selection.

[BibT_eX]

[DOI]

Sevil Zanjani Miyandoab

Farzaneh Nikbakhtsarvestani

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Self-Supervised Learning Using Noisy-Latent Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Pairwise Surrogate Model using GNN for Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Objective Coordinate Search Optimization.

[BibT_eX]

[DOI]

Mehran Ebrahimi

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

A comprehensive investigation on novel center-based sampling for large-scale global optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2022

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology.

[BibT_eX]

[DOI]

Clinton J. V. Campbell

Anil Parwani

Liron Pantanowitz

Hamid R. Tizhoosh

Artif. Intell. Medicine, 2022

Image-based benchmarking and visualization for large-scale global optimization.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Clustering Center-based Differential Evolution.

[BibT_eX]

[DOI]

Rasa Khosrowshahli

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

A novel binary many-objective feature selection algorithm for multi-label data classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Population-based coordinate descent algorithm with majority voting.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Memetic Differential Evolution Using Coordinate Descent.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

An evolutionary decomposition-based multi-objective feature selection for multi-label classification.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2020

Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently.

[BibT_eX]

[DOI]

CoRR, 2020

A Novel Collective Crossover Operator for Genetic Algorithms.

[BibT_eX]

[DOI]

Berna Kiraz

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A pareto front-based metric to identify major bitcoin networks influencers.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action.

[BibT_eX]

[DOI]

Steven Trumble

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training.

[BibT_eX]

[DOI]

Gerald Schaefer

Int. J. Bio Inspired Comput., 2019

An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks.

[BibT_eX]

[DOI]

Gerald Schaefer

Iakov Korovin

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer Science & Education, 2019

A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer Science & Education, 2019

Proposing a Pareto-VIKOR Ranking Method for Enhancing Parallel Coordinates Visualization.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer Science & Education, 2019

Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

GDE4: The Generalized Differential Evolution with Ordered Mutation.

[BibT_eX]

[DOI]

Sedigheh Mahdavi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection.

[BibT_eX]

[DOI]