Khalid M. Salama

João Pedro de Magalhães

Bioinform., 2020

2019

Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

An Adaptive Recombination-Based Extension of the iMOACOR Algorithm.

[BibT_eX]

[DOI]

Jesús Guillermo Falcón-Cardona

Carlos A. Coello Coello

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Does the ACO \mathbb _R Algorithm Benefit from the Use of Crossover?

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017

Learning cluster-based classification systems with ant colony optimization algorithms.

[BibT_eX]

[DOI]

Swarm Intell., 2017

Instance-based classification with Ant Colony Optimization.

[BibT_eX]

[DOI]

Intell. Data Anal., 2017

Solution recombination in an indicator-based many-objective ant colony optimizer for continuous search spaces.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A sugeno-based search width decay schedule in the ACOR algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

The effect of the number of ants parameter in the ACOR algorithm: A run-time profiling study.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Data reduction for classification with ant colony algorithms.

[BibT_eX]

[DOI]

Ismail M. Anwar

Intell. Data Anal., 2016

Ant Colony Optimization applied to the regularization process of a High Order neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An extension of the ACOR algorithm with time-decaying search width, with application to neural network training.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Using Ant Colony Optimization to Build Cluster-Based Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015

Learning neural network structures with ant colony algorithms.

[BibT_eX]

[DOI]

Swarm Intell., 2015

Ant colony algorithms for constructing Bayesian multi-net classifiers.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Gradient-Guided ACO Algorithm for Neural Network Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Instance Selection with Ant Colony Optimization.

[BibT_eX]

[DOI]

Ismail M. Anwar

Proceedings of the INNS Conference on Big Data 2015, 2015

ADR-Miner: An ant-based data reduction algorithm for classification.

[BibT_eX]

[DOI]

Ismail M. Anwar

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2014

ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms.

[BibT_eX]

[DOI]

Memetic Comput., 2014

Learning Multi-tree Classification Models with Ant Colony Optimization.

[BibT_eX]

[DOI]

Proceedings of the ECTA 2014, 2014

Exploring the Impact of Different Classification Quality Functions in an ACO Algorithm for Learning Neural Network Structures.

[BibT_eX]

[DOI]

Proceedings of the ECTA 2014, 2014

A Novel Ant Colony Algorithm for Building Neural Network Topologies.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013

Learning Bayesian network classifiers using ant colony optimization.

[BibT_eX]

[DOI]

Swarm Intell., 2013

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

Extending the ABC-Miner Bayesian Classification Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013

Evaluating the use of different measure functions in the predictive quality of ABC-miner.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Exploring Different Functions for Heuristics, Discretization, and Rule Quality Evaluation in Ant-Miner.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

ABC-Miner: An Ant-Based Bayesian Classification Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm.

[BibT_eX]

[DOI]

Swarm Intell., 2011

Exploring different rule quality evaluation functions in ACO-based classification algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

2010

Extensions to the Ant-Miner Classification Rule Discovery Algorithm.

[BibT_eX]

[DOI]