Dr. Ashraf Abdelbar

BSc, MSc, PhDAbdelbar headshot

Professor
Department of Mathematics and Computer Science

Teaching

During the 2014-2015 academic year, I am teaching:

Fall 2014

Winter 2015

Research Interests

Artificial intelligence, neural networks, ant colony optimization, particle swarm optimization, genetic algorithms, computer games.

Recent Publications

  1. K.M. Salama, I.M. Anwar, and Ashraf M. Abdelbar, “ADR-Miner: An Ant-Based Data Reduction Algorithm for Classification, Proceedings IEEE Congress on Evolutionary Computation (CEC-2015), May 2015, to appear.
  2. Ayah Helal, and Ashraf M. Abdelbar, “Incorporating Domain-Specific Heuristics in a Particle Swarm Optimization Approach to the Quadratic Assignment Problem,” Memetic Computing, Vol. 6, No. 4, pp. 241-254, 2014.
  3. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch, “A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem,” Memetic Computing Vol. 6, No. 1, pp. 19-29, 2014.
  4. Islam El-Nabarawy, and Ashraf M. Abdelbar, “Advanced Learning Methods and Exponent Regularization Applied to a High Order Neural Network,” Neural Computing & Applications, Vol. 25, No. 3, pp. 897-910, September 2014.
  5. Khalid M. Salama, and Ashraf M. Abdelbar, “A Novel Ant Colony Algorithm for Building Neural Network Topologies,” Proceedings International Conference on Swarm Intelligence (Ants-2014), Brussels, Belgium, pp. 1-12, September 2014 .
  6. Khalid M. Salama and Ashraf M. Abdelbar, “Exploring the Impact of Different Classification Quality Functions in the ACO Algorithm for Learning Neural Network Structures”, Proceedings 6th International Conference on Evolutionary Computation Theory and Applications, Rome, Italy, October 2014.
  7. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch, “An Extended EigenAnt Colony System Applied to the Sequential Ordering Problem,” Proceedings IEEE Swarm Intelligence Symposium (SIS-2014), Orlando, Florida, pp. 1-7, December 2014.
  8. Khalid M. Salama, Ashraf M. Abdelbar, Fernando E.B. Otero, and Alex A. Freitas, “Utilizing Multiple Pheromone Types in an Ant-Based Algorithm for Continuous-Attribute Classification Rule Discovery,” Applied Soft Computing, Vol. 13, pp. 667-675, 2013.
  9. Islam Nabrawy, Ashraf M. Abdelbar, and Donald C. Wunsch, “Levenberg-Marquardt and Conjugate Gradient Methods Applied to a High Order Neural Network,” Proceedings 2013 IEEE/INNS International Joint Conference in Neural Networks (IJCNN-2013), Dallas, Texas, pp. 2126-2132, 2013.
  10. Ahmed Ezzat, and Ashraf Abdelbar, “A Less Exploitative Variation of the Enhanced Ant Colony System Applied to SOP,” Proceedings 2013 IEEE Congress on Evolutionary Computation (CEC-13), Cancun, Mexico, pp. 1917-1924, 2013.
  11. Ashraf M. Abdelbar, “Alpha-Beta Pruning and Althöfer’s Pathology-Free Negamax Algorithm,” Algorithms, Vol. 5, 2012, pp. 521-528.
  12. Ashraf M. Abdelbar, “Is There a Computational Advantage to Representing Evaporation Rate as a Gaussian Random Variable?,” Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012), Philadelphia, Pennsylvania, pp. 1-8, 2012.
  13. Ashraf M. Abdelbar, and Donald C. Wunsch, “Improving the Performance of MAX-MIN Ant System on the TSP Using Stubborn Ants,” Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012) Conference Companion, Philadelphia, Pennsylvania, pp. 1395-1396, 2012.
  14. Khalid M. Salama, Ashraf M. Abdelbar, and Alex A. Freitas, “Multiple Pheromone Types and Other Extensions to the Ant-Miner Classification Rule Discovery Algorithm”, Swarm Intelligence, Vol. 5, No. 3-4, pp. 149-182, 2011.
  15. Khalid M. Salama, and Ashraf M. Abdelbar, “Exploring Different Rule Quality Evaluation Functions in ACO-Based Classification Algorithms,” Proceedings IEEE 2011 Swarm Intelligence Symposium, Paris, France, April 2011, pp. 1-8.