Ashraf M. Abdelbar

According to our database1, Ashraf M. Abdelbar authored at least 67 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2019
Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization.
IEEE Access, 2019

2018
An Adaptive Recombination-Based Extension of the iMOACOR Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Does the ACO \mathbb _R Algorithm Benefit from the Use of Crossover?
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
Learning cluster-based classification systems with ant colony optimization algorithms.
Swarm Intell., 2017

Instance-based classification with Ant Colony Optimization.
Intell. Data Anal., 2017

Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Solution recombination in an indicator-based many-objective ant colony optimizer for continuous search spaces.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A sugeno-based search width decay schedule in the ACOR algorithm.
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.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Data reduction for classification with ant colony algorithms.
Intell. Data Anal., 2016

Ant Colony Optimization applied to the regularization process of a High Order neural Network.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Biclustering ARTMAP collaborative filtering recommender system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An extension of the ACOR algorithm with time-decaying search width, with application to neural network training.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Using Ant Colony Optimization to Build Cluster-Based Classification Systems.
Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015
Learning neural network structures with ant colony algorithms.
Swarm Intell., 2015

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Gradient-Guided ACO Algorithm for Neural Network Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Instance Selection with Ant Colony Optimization.
Proceedings of the INNS Conference on Big Data 2015, 2015

An improved Particle Swarm Optimization/Tabu search approach to the Quadratic Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

ADR-Miner: An ant-based data reduction algorithm for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Advanced learning methods and exponent regularization applied to a high order neural network.
Neural Comput. Appl., 2014

Incorporating domain-specific heuristics in a particle swarm optimization approach to the quadratic assignment problem.
Memetic Comput., 2014

A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem.
Memetic Comput., 2014

An extended EigenAnt colony system applied to the sequential ordering problem.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Exploring the Impact of Different Classification Quality Functions in an ACO Algorithm for Learning Neural Network Structures.
Proceedings of the ECTA 2014, 2014

A Novel Ant Colony Algorithm for Building Neural Network Topologies.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013
Search Context Awareness in Several Ant Colony Optimization Models.
Int. J. Comput. Their Appl., 2013

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery.
Appl. Soft Comput., 2013

Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A less exploitative variation of the Enhanced Ant Colony System applied to SOP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Promoting Search Diversity in Ant Colony Optimization with Stubborn Ants.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Alpha-Beta Pruning and Althöfer's Pathology-Free Negamax Algorithm.
Algorithms, 2012

Improving the performance of MAX-MIN ant system on the TSP using stubborn ants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Is there a computational advantage to representing evaporation rate in ant colony optimization as a gaussian random variable?
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm.
Swarm Intell., 2011

Exploring different rule quality evaluation functions in ACO-based classification algorithms.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

2010
Extensions to the Ant-Miner Classification Rule Discovery Algorithm.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009
Incorporating swarm behavior into the adaptation mechanism of an order-driven artificial financial market.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

2008
Stubborn ants.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

2007
Finding Least Cost Proofs Using a Hierarchical PSO.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Evolutionary Optimization Approach to Cost-Based Abduction, with Comparison to PSO.
Proceedings of the International Joint Conference on Neural Networks, 2007

Gaussian Versus Cauchy Membership Functions in Fuzzy PSO.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Self-Adaptive Evolutionary Algorithm Applied to Bayesian Networks.
Proceedings of the 22nd International Conference on Computers and Their Applications, 2007

2006
Receptive field optimization for ensemble encoding.
Neural Comput. Appl., 2006

Exploring the fitness landscape and the run-time behaviour of an iterated local search algorithm for cost-based abduction.
J. Exp. Theor. Artif. Intell., 2006

2005
Recurrent neural networks with backtrack-points and negative reinforcement applied to cost-based abduction.
Neural Networks, 2005

An efficient LP-based admissible heuristic for cost-based abduction.
J. Exp. Theor. Artif. Intell., 2005

Finding MAPs for Large Belief Networks Using Evolutionary Computation.
Int. J. Comput. Their Appl., 2005

Mapping faults to failures in SQL manipulation commands.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

Towards an improved twin-page method for rapid transaction undo recovery.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2004
Approximating cost-based abduction is NP-hard .
Artif. Intell., 2004

Effective Stock Market Prediction with Neural Networks Optimized by Population-Oriented Simulated Annealing.
Proceedings of the ISCA 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2004

2003
Abductive reasoning with recurrent neural networks.
Neural Networks, 2003

2002
A hybridization of Bayesian and neural learning.
Neurocomputing, 2002

2001
A Hybrid Annealing-Neural Approach to Knowledge Discovery in Databases.
Proceedings of the ISCA 3rd International Conference on Information Reuse and Integration, 2001

2000
The complexity of approximating MAPs for belief networks with bounded probabilities.
Artif. Intell., 2000

1999
Using simulated annealing to optimize receptive fields for MLP networks with ensemble encoding.
Proceedings of the International Joint Conference Neural Networks, 1999

Recurrent high-order networks for probabilistic explanation.
Proceedings of the International Joint Conference Neural Networks, 1999

A linear constraint satisfaction approach to Bayesian networks.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Achieving superior generalisation with a high order neural network.
Neural Comput. Appl., 1998

Using neural network learning in an Othello evaluation function.
J. Exp. Theor. Artif. Intell., 1998

Approximating MAPs for Belief Networks is NP-Hard and Other Theorems.
Artif. Intell., 1998

An Algorithm for Finding MAPs for Belief Networks Through Cost-Based Abduction.
Artif. Intell., 1998

A Mahalanobis Distance Error Measure for Backpropagation Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1997
A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations on Bayesian belief networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
HONEST: a new high order feedforward neural network.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996


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