{"id":2,"date":"2013-10-01T19:33:58","date_gmt":"2013-10-01T19:33:58","guid":{"rendered":"http:\/\/people.brandonu.ca\/abdelbar\/?page_id=2"},"modified":"2019-06-13T11:33:32","modified_gmt":"2019-06-13T16:33:32","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/people.brandonu.ca\/abdelbara\/","title":{"rendered":"Dr. Ashraf Abdelbar"},"content":{"rendered":"<p><strong><a href=\"https:\/\/people.brandonu.ca\/abdelbara\/files\/2013\/10\/iMOACORv1.01.tgz\"><\/a>BSc, MSc, PhD<\/strong><\/p>\n<p>Professor<a href=\"https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar-240x300.jpg\" alt=\"Ashraf Abdelbar Photo\" width=\"144\" height=\"180\" class=\"wp-image-35 alignright\" srcset=\"https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar-240x300.jpg 240w, https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar-768x960.jpg 768w, https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar-819x1024.jpg 819w, https:\/\/people.brandonu.ca\/abdelbara\/files\/2019\/06\/Abdelbar-640x800.jpg 640w\" sizes=\"auto, (max-width: 144px) 100vw, 144px\" \/><\/a><br \/>\nDepartment of Mathematics and Computer Science, Brandon University<\/p>\n<ul>\n<li>BSc,\u00a0Computer Science, American University in Cairo, 1991.<\/li>\n<li>MSc, Computer Science, Clemson University, USA, 1994.<\/li>\n<li>PhD, Computer Science, Clemson University, USA, 1996.<\/li>\n<\/ul>\n<h2>Research Interests<\/h2>\n<p>Artificial intelligence, data mining, neural networks, ant colony optimization, particle swarm optimization, genetic algorithms, computer games.<\/p>\n<h2>Publications<\/h2>\n<p style=\"text-align: center\"><strong>2019<\/strong><\/p>\n<p><strong>Journal<\/strong><\/p>\n<p>1.\u00a0 Ashraf M, Abdelbar, and Khalid M. Salama, \u201cParameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization,\u201d <em>IEEE Access, <\/em>Vol. 7, 2018, pp. 18464-18479.<\/p>\n<p style=\"text-align: center\"><strong>2018<\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>2. Ashraf M, Abdelbar, Islam Nabaraway, Khalid M. Salama, and Donald C. Wunsch, \u201cMatrix Factorization Based Collaborative Filtering with Resilient Gradient Descent,\u201d <em>Proceedings IEEE International Joint Conference on Neural Networks, <\/em>2018, pp. 1-7.<\/p>\n<p>3. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cDoes the ACO<sub>R<\/sub> Algorithm Benefit from the Use of Crossover?\u201d <em>Proceedings International Conference on Swarm Intelligence <\/em>(<em>ANTS-2018<\/em>), 2018, pp. 342-350.<\/p>\n<p>4. Ashraf M, Abdelbar, Khalid M. Salama, Jesus Falcon-Garcia, and Carlos Coello Coello, \u201cAn Adaptive Recombination-Based Extension of the <em>i<\/em>MOACO<sub>R<\/sub> Algorithm,\u201d <em>Proceedings IEEE Symposium Series in Computational Intelligence<\/em>, 2018, pp. 735-742.<\/p>\n<p style=\"text-align: center\"><strong>2017<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>5. Khalid M. Salama and Ashraf M. Abdelbar, \u201cLearning Cluster-Based Classification Systems with Ant Colony Optimization,\u201d Swarm Intelligence, Vol. 11, No. 3-4, 2017, pp. 211-242.<\/p>\n<p>6. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cInstance-Based Classification with Ant Colony Optimization,\u201d Intelligent Data Analysis, Vol. 21, No. 4, 2017, pp. 913-941.<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>7. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cSolution Recombination in an Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces,\u201d Proceedings IEEE Symposium Series in Computational Intelligence, 2017.<\/p>\n<p>8. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cA Sugeno-Based Search Width Decay Schedule in the ACO<sub>R<\/sub> Algorithm,\u201d Proceedings IEEE Symposium Series in Computational Intelligence, 2017.<\/p>\n<p>9. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cThe Effect of the Number of Ants Parameter in the ACO<sub>R<\/sub> Algorithm: A Run-Time Profiling Study,\u201d Proceedings IEEE Symposium Series in Computational Intelligence, 2017.<\/p>\n<p>10. Ayah Helal, Enas Jawdat, Islam Elnabaraway, Ashraf Abdelbar, and Donald C. Wunsch, \u201cIntegrated Particle Swarm and Evolutionary Algorithm Approaches to the Quadratic Assignment Problem,\u201d Proceedings IEEE Symposium Series in Computational Intelligence, 2017.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center\"><strong>2016<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>11. Khalid M. Salama, Ashraf M. Abdelbar, and Ismail M. Anwar. \u201cData Reduction for Classification with Ant Colony Algorithms,\u201d Intelligent Data Analysis, Vol. 20, No. 5, pp. 1021-1059, 2016.<\/p>\n<p>12. Gautam Srivastava, Evan Citulsky, Kyle Tilbury, Ashraf Abdelbar, Toshiyuki Amagasa, \u201cThe Effects of Ant Colony Optimization on Graph Anonymization,\u201d <em>GSTF Journal of Computing<\/em>, Vol. 5, No. 1, pp. 92-101, 2016.<\/p>\n<p><strong>Book Chapter<\/strong><\/p>\n<p>13. Ashraf M. Abdelbar, Islam El-Nabarawy, Donald C. Wunch, and Khalid M. Salama, Ant Colony Optimization Applied to the Training of a High Order Neural Network with Adaptable Exponential Weights, in: Ming Zhang, ed., Applied Artificial Higher Order Neural Networks for Control and Recognition, IGI Global Press, pp. 362-374, 2016.<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>14. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cAn Extension of the ACO<sub>R<\/sub> \u00a0Algorithm with Time-Decaying Search Width, with Application to Neural Network Training,\u201d Proceedings IEEE Congress on Evolutionary Computation, Vancouver, Canada, pp. 2360-2366, 2016.<\/p>\n<p>15. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cAnt Colony Optimization Applied to the Regularization Process of a High Order Neural Network,\u201d Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), Athens, Greece, pp. 1-8, 2016.<\/p>\n<p>16. Islam El-Nabarawy, Donald C. Wunsch, and Ashraf M. Abdelbar, \u201cBiclustering ARTMAP Collaborative Filtering Recommender System,\u201d Proceedings IEEE International Joint Conference on Neural Networks, Vancouver, Canada, pp. 2986-2991, 2016.<\/p>\n<p>17. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cUsing Ant Colony Optimization to Build Cluster-Based Classification Systems,\u201d Proceedings International Conference on Swarm Intelligence (ANTS-2016), Springer Lecture Notes in Computer Science Vol. 9882, Brussels, Belgium, pp. 210-221, 2016.<\/p>\n<p>18. Ashraf M. Abdelbar, and Khalid M. Salama, \u201cClustering with the ACO\uf052 Algorithm,\u201d Proceedings International Conference on Swarm Intelligence (ANTS-2016), Springer Lecture Notes in Computer Science Vol. 9882, Brussels, Belgium, pp. 291-292, 2016.<\/p>\n<p style=\"text-align: center\"><strong>2015<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>19. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cLearning Neural Network Structures with Ant Colony Algorithms,\u201d Swarm Intelligence, Vol. 9, No. 4, pp. 229-265, 2015.<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>20. Ismail M. Anwar and Khalid M. Salama and Ashraf M. Abdelbar, \u201cInstance Selection with AntColony Optimization,\u201d Procedia Computer Science (Proceedings INNS Conference on Big Data), Vol. 53, pp. 248-256, 2015.<\/p>\n<p>21. Ayah Helal, Enas Jawdat, and Ashraf M. Abdelbar, \u201cAn Improved Particle Swarm Optimization\/Tabu Search Approach to the Quadratic Assignment Problem,\u201d Proceedings IEEE Congress on Evolutionary Computation, Sendai, Japan, pp. 220-226, 2015.<\/p>\n<p>22. Ismail M. Anwar, Khalid M. Salama and Ashraf M. Abdelbar. \u201cADR-Miner: An Ant-Based Data Reduction Algorithm for Classification,\u201d Proceedings IEEE Congress on Evolutionary Computation, Sendai, Japan, pp. 515-521, 2015.<\/p>\n<p>23. Khalid M. Salama, Ashraf M. Abdelbar and Fernando E.B. Otero, \u201cInvestigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers,\u201d Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), Cape Town, South Africa, pp. 1146-1153, 2015<\/p>\n<p>24. Ashraf M. Abdelbar and Khalid M. Salama, A Gradient-Guided ACO Algorithm for Neural Network Learning, Proceedings IEEE Symposium Series on Computational Intelligence (IEEE Symposium on Swarm Intelligence), pp. 1133-1140, 2015.<\/p>\n<p style=\"text-align: center\"><strong>2014<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>25. Ayah Helal, and Ashraf M. Abdelbar, \u201cIncorporating Domain-Specific Heuristics in a Particle Swarm Optimization Approach to the Quadratic Assignment Problem,\u201d Memetic Computing, 2014, Vol. 6, No. 4, pp. 241-254, 2014.<\/p>\n<p>26. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch II, \u201cA Bare-Bones Ant Colony Optimization Algorithm that Performs Competitively on the Sequential Ordering Problem,\u201d \u00a0Memetic Computing, Vol. 6, No. 1, pp. 19-29, 2014.<\/p>\n<p>27. Islam El-Nabarawy, and Ashraf M. Abdelbar, \u201cAdvanced Learning Methods and Exponent Regularization Applied to a High Order Neural Network,\u201d Neural Computing &amp; Applications, 2014, Vol. 25, No. 3, pp. 897-910, September 2014.<\/p>\n<p><strong><\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>28. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cA Novel Ant Colony Algorithm for Building Neural Network Topologies,\u201d Proceedings International Conference on Swarm Intelligence (ANTS-2014), Springer Lecture Notes in Computer Science Vol. 8667, Brussels, Belgium, pp. 1-12, 2014.<\/p>\n<p>29. Ahmed Ezzat, Ashraf M. Abdelbar, and Donald C. Wunsch, \u201cAn Extended EigenAnt Colony System Applied to the Sequential Ordering Problem,\u201d Proceedings IEEE Swarm Intelligence Symposium (SIS-2014), Orlando, Florida, pp. 1-7, December 2014.<\/p>\n<p>30. Khalid M. Salama and Ashraf M. Abdelbar, \u201cExploring the Impact of Different Classification Quality Functions in the ACO Algorithm for Learning Neural Network Structures,\u201d Proceedings 6th International Conference on Evolutionary Computation Theory and Applications, Rome, Italy, October 22-24, pp. 137-144, 2014.<\/p>\n<p style=\"text-align: center\"><strong>2013<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>31. Khalid M. Salama, Ashraf M. Abdelbar, Fernando E.B. Otero, and Alex A. Freitas, \u201cUtilizing Multiple Pheromone Types in an Ant-Based Algorithm for Continuous-Attribute Classification Rule Discovery,\u201d Applied Soft Computing, Vol. 13, pp. 667-675, 2013.<\/p>\n<p>32. Ashraf M. Abdelbar, and D.C. Wunsch, \u201cSearch Context Awareness in Several Ant Colony Optimization Models,\u201d International Journal of Computers and Their Applications, Vol. 20, No. 2, pp. 97-110, 2013.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>33. Islam Nabarawy, Ashraf M. Abdelbar, and Donald C. Wunsch, \u201cLevenberg-Marquardt and Conjugate Gradient Methods Applied to a High Order Neural Network,\u201d Proceedings 2013 IEEE\/INNS International Joint Conference in Neural Networks (IJCNN-2013), Dallas, Texas, pp. 2126-2132, 2013.<\/p>\n<p>34. Ahmed Ezzat, and Ashraf Abdelbar, \u201cA Less Exploitative Variation of the Enhanced Ant Colony System Applied to SOP,\u201d Proceedings 2013 IEEE Congress on Evolutionary Computation (CEC-13), Cancun, Mexico, pp. 1917-1924, 2013.<\/p>\n<p style=\"text-align: center\"><strong>2012<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>35. Ashraf M. Abdelbar, \u201cAlpha-Beta Pruning and Alth\u00f6fer\u2019s Pathology-Free Negamax Algorithm,\u201d Algorithms, Vol. 5, pp. 521-528, 2012.<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>36. Ashraf M. Abdelbar, \u201cIs There a Computational Advantage to Representing Evaporation Rate as a Gaussian Random Variable?,\u201d Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012), pp. 1-8, Philadelphia, USA, 2012.<\/p>\n<p>37. Ashraf M. Abdelbar, and Donald C. Wunsch, \u201cImproving the Performance of MAX-MIN Ant System on the TSP Using Stubborn Ants,\u201d Proceedings Fourteenth International Conference on Genetic and Evolutionary Computation (GECCO-2012) Conference Companion, Philadelphia, USA,pp. 1395-1396, 2012.<\/p>\n<p>38. Ashraf M. Abdelbar, and Donald C. Wunsch, \u201cPromoting Search Diversity in Ant Colony Optimization with Stubborn Ants,\u201d Proceedings Complex Adaptive Systems Conference, Vol. 12 of Procedia Computer Science, Washington, DC, pp. 456-462, November 2012.<\/p>\n<p>39. Ashraf M. Abdelbar, and Donald C. Wunsch, \u201cA Modified Ant Colony Optimization Algorithm,\u201d Proceedings International Conference on Information Science and Computing Applications, Bali, Indonesia, pp. 150-154, November 2012.<\/p>\n<p style=\"text-align: center\"><strong>2011<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>40. Khalid M. Salama, Ashraf M. Abdelbar, and Alex A. Freitas, \u201cMultiple Pheromone Types and Other Extensions to the Ant-Miner Classification Rule Discovery Algorithm\u201d, Swarm Intelligence, Vol. 5, No. 3-4, pp. 149-182, 2011.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>41. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cExploring Different Rule Quality Evaluation Functions in ACO-Based Classification Algorithms,\u201d Proceedings IEEE 2011 Swarm Intelligence Symposium, Paris, France, pp. 1-8, April 2011.<\/p>\n<p style=\"text-align: center\"><strong>2010<\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>42. Khalid M. Salama, and Ashraf M. Abdelbar, \u201cExtensions to the Ant-Miner Classification Rule Discovery Algorithms,\u2019\u2019 Proceedings International Conference on Swarm Intelligence (ANTS-2010), Springer Lecture Notes in Computer Science Vol. 6234, pp. 43-50,2010.<\/p>\n<p>43. Ashraf M. Abdelbar, \u201cGaussian Random Evaporation in Ant Colony Optimization,\u201d Proceedings International Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-2010), St. Louis, Missouri, pp. 243-250, Nov. 2010.<\/p>\n<p style=\"text-align: center\"><strong>2009<\/strong><\/p>\n<p><strong>Book Chapter\u00a0<\/strong><\/p>\n<p>44. Sherif G. Aly and Ashraf Abdelbar, \u201cEnvironmental Information and Air Pollution Levels in the City of Cairo: The Role of Information Technology\u201d in: Egypt, Energy and the Environment: Critical Sustainability Perspectives, (Tarek H. Selim, ed.), London: Adonis and Abbey Publishers Ltd, pp. 137-145, 2009.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>45. Ashraf M. Abdelbar, Sherif Ragab, and Eskander Tooma, \u201cIncorporating Swarm Behavior into the Adaptation Mechanism of an Order-Driven Artificial Financial Market,\u201d Proceedings IEEE Swarm Intelligence Symposium, Nashville, Tennessee, pp. 104-108, 2009.<\/p>\n<p style=\"text-align: center\"><strong>2008<\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>46. Ashraf M. Abdelbar, \u201cStubborn Ants\u201d, Proceedings IEEE 2008 Swarm Intelligence Symposium, Saint Louis, Missouri, pp. 1-5, 2008.<\/p>\n<p>47. Ashraf M. Abdelbar, \u201cParticles with Personality\u201d, late-breaking poster, IEEE 2008 Swarm Intelligence Symposium, Saint Louis, Missouri, pp. 18-19 (published in a book of late-breaking abstracts, separate from the main conference proceedings), 2008.<\/p>\n<p style=\"text-align: center\"><strong>2007<\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>48. Shawn T. Chivers, Gene A. Tagliarini, and Ashraf M. Abdelbar, \u201cAn Evolutionary Optimization Approach to Cost-Based Abduction, with Comparison with PSO,\u201d Proceedings 2007 IEEE\/INNS International Joint Conference in Neural Networks, Orlando, pp. 2926-2930, 2007.<\/p>\n<p>49. Ashraf M. Abdelbar, Suzan Abdelshahid, and Donald C. Wunsch, \u201cGaussian Versus Cauchy Membership Functions in Fuzzy PSO,\u201d Proceedings 2007 IEEE\/INNS International Joint Conference in Neural Networks,&#8221; Orlando, pp. 2902-2907, 2007.<\/p>\n<p>50. Shawn T. Chivers, Gene A. Tagliarini, and Ashraf M. Abdelbar, \u201cFinding Least Cost Proofs Using a Hierarchical PSO,\u201d Proceedings IEEE Swarm Intelligence Symposium, Honolulu, Hawaii, pp. 156-161, April 2007.<\/p>\n<p>51. Ashraf M. Abdelbar, and Manar I. Hosny, \u201cA Self-Adaptive Evolutionary Algorithm Applied to Bayesian Networks,\u201d Proceedings ISCA International Conference on Computers and Their Applications, Honolulu, Hawaii, pp. 118-122, March 2007.<\/p>\n<p style=\"text-align: center\"><strong>2006<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>52. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, \u201cReceptive Field Optimization for Ensemble Encoding,\u201d Neural Computing &amp; Applications, Vol. 15, No. 1, pp. 1-8, 2006.<\/p>\n<p>53. Ashraf M. Abdelbar, Sarah H. Gheita, and Heba A. Amer, \u201cExploring the Fitness Landscape and the Run-Time Behavior of an Iterated Local Search Algorithm for Cost-Based Abduction,\u201d Journal of Theoretical and Experimental Artificial Intelligence, Vol. 18, No. 3, pp. 365-382, September 2006.<\/p>\n<p>54. Ashraf M. Abdelbar, and Manar I. Hosny, \u201cProbabilistic Explanation with Genetic Algorithms and Simulated Annealing,\u201d WSEAS Transactions on Computers, Vol. 5, No. 10, pp. 2162-2168, October 2006.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>55. Ashraf M. Abdelbar, and Manar I. Hosny, \u201cFinding Most Probable Explanations Using a Self-Adaptive Hybridization of Genetic Algorithms and Simulated Annealing,\u201d Proceedings 10th WSEAS International Conference on Computers, July 13-15, Vouliagmeni, Greece, pp. 800-806, 2006.<\/p>\n<p>56. Ashraf M. Abdelbar, and Heba A. Amer, \u201cFinding Least Cost Proofs with Population-Oriented Simulated Annealing,\u201d Proceedings 2006 Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-04), St. Louis, Missouri, pp. 79-84, Nov. 2006.<\/p>\n<p style=\"text-align: center\"><strong>2005<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>57. Ashraf M. Abdelbar, Mostafa A. El-Hemaly, Emad A.M. Andrews, and D.C. Wunsch, \u201cRecurrent Neural Networks with Backtrack-Points and Negative Reinforcement Applied to Cost-Based Abduction,\u201d Neural Networks, Vol. 18, No. 5-6, pp. 755-764, August 2005.<\/p>\n<p>58. Ashraf M. Abdelbar, and Mohamed Hefny, \u201cAn Efficient LP-Based Admissible Heuristic for Cost-Based Abduction,\u201d Journal of Experimental and Theoretical Artificial Intelligence, Vol. 17, No. 3, pp. 297-303, September 2005.<\/p>\n<p>59. Ashraf M. Abdelbar, Emad A.M. Andrews, and D.C Wunsch, \u201cA Connectionist Approach to Cost-Based Abduction,\u201d International Journal of Computational Cognition, Vol. 3, No. 2, pp. 46-51, June 2005.<\/p>\n<p>60. Ashraf M. Abdelbar, and Sahar Attia, \u201cFinding MAPs for Large Belief Networks Using Evolutionary Computation,\u201d International Journal of Computers and Their Applications, Vol. 12, No. 1, pp. 16-20, March 2005.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>61. Ashraf M. Abdelbar, Suzan Abdelshahid, and D.C. Wunsch, \u201cFuzzy PSO: A Generalization of Particle Swarm Optimization,\u201d Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 1086-1091, 2005.<\/p>\n<p>62. Ashraf M. Abdelbar, Mostafa Hemaly, Emad Andrews, and D.C. Wunsch, \u201cNegative Reinforcement and Backtrack Points for Recurrent Neural Networks for Cost-Based Abduction,\u2019\u2019 Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 827-832, 2005.<\/p>\n<p>63. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, \u201cExperimental Evaluation of Hybrid Method for Configuring Ensemble Encoding Receptors,\u2019\u2019 Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 989-994, 2005.<\/p>\n<p>64. Ashraf M. Abdelbar, Ossama Soliman, Sherif Kinawy, and Hisham Sayed, \u201cAn Evolved Seega Player Capable of Strong Novice-Level Play,\u201d Proceedings 2005 IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 332-336, 2005.<\/p>\n<p>65. Ashraf M. Abdelbar, \u201cTowards an Improved Twin-Page Method for Rapid Transaction Undo Recovery,\u201d Proceedings ACS\/IEEE International Conference on Computer Systems and Applications, Cairo, Egypt, January 3-6, p. 38, 2005.<\/p>\n<p style=\"text-align: center\"><strong>2004<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>66. Ashraf M. Abdelbar, \u201cApproximating Cost-Based Abduction Is NP-Hard,\u201d Artificial Intelligence, Vol. 159, No.1-2, pp. 231-239, November 2004.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>67. Ashraf M. Abdelbar, and Manar I. Hosny, \u201cAn Adaptive Hybrid Genetic Annealing Technique Applied to Bayesian Networks,\u201d Proceedings 2004 Conference on Artificial Neural Networks in Industrial Engineering (ANNIE-04), St. Louis, Missouri, pp. 45-50, Nov. 2004.<\/p>\n<p>68. Mohamed M. Mahmoud, Ashraf M. Abdelbar, Maha Bali, and Mohamed El-Hagry, \u201cEffective Stock Market Prediction with Neural Networks Optimized by Population-Oriented Simulated Annealing,\u201d Proceedings 12th ISCA International Conference on Intelligent and Adaptive Systems and Software Engineering, pp. 131-134, 2004.<\/p>\n<p>69. Ashraf M. Abdelbar, and Suzan Abdelshahid, \u201cInstinct-Based PSO with Local Search Applied to Satisfiability,\u201d Proceedings 2004 IEEE International Joint Conference on Neural Networks, Vol. 3, pp. 2291-2295, 2004.<\/p>\n<p>70. Ashraf M. Abdelbar, Sherif Ragab, and Sara Mitri, \u201cCo-Evolutionary Particle Swarm Optimization Applied to the 7&#215;7 Seega Game,\u201d Proceedings 2004 IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 243-248, 2004.<\/p>\n<p style=\"text-align: center\"><strong>2003<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>71. Ashraf M. Abdelbar, Emad A.M. Andrews, and Donald C. Wunsch, \u201cAbductive Reasoning with Recurrent Neural Networks,\u201d Neural Networks, 2003, Vol. 16, No. 5-6, pp. 665-673, 2003.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>72. Mary El-Mallakh, and Ashraf M. Abdelbar, \u201cGenetic Algorithms for Production Scheduling,\u201d Proceedings Seventh World Multiconference on Systemics, Cybernetics and Informatics, 2003.<\/p>\n<p>73. Ashraf M. Abdelbar, Emad A.M. Andrews, Gene A. Tagliarini, \u201cFinding Least Cost Proofs Using High Order Recurrent Networks,\u2019\u2019 Proceedings IEEE\/INNS International Joint Conference on Neural Networks, Vol. 4, pp. 2803-2806, 2003.<\/p>\n<p>74. Ashraf M. Abdelbar, and Heba Amer, \u201cApplying Guided Evolutionary Simulated Annealing to Cost-Based Abduction,\u201d Proceedings IEEE\/INNS International Joint Conference on Neural Networks, Vol. 3, pp. 2428-2431, 2003.<\/p>\n<p>75. Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan, \u201cThree Heuristics for Receptive Field Optimization for Ensemble Encoding,\u201d Proceedings IEEE\/INNS International Joint Conference on Neural Networks, Vol. 3, 2328-2333, 2003.<\/p>\n<p>76. Ashraf M. Abdelbar, and Suzan AbdelShahid, \u201cA Modified Particle Swarm Algorithm Applied to Weighted Max-Sat,\u201d Proceedings International Joint Conference on Artificial Intelligence (IJCAI-03) Workshop on Stochastic Search Algorithms, pp. 25-30, 2003.<\/p>\n<p>77. Ashraf M. Abdelbar, and Mohamed Mokhtar, \u201cA k-Elitist MAX-MIN Ant System Approach to Cost-Based Abduction,\u201d Proceedings IEEE Congress on Evolutionary Computation, Vol. 4, pp. 2635-2641, 2003.<\/p>\n<p>78. Ashraf M. Abdelbar, and Suzan Abdelshahid, \u201cSwarm Optimization with Instinct-Driven Particles,\u201d Proceedings IEEE Congress on Evolutionary Computation, Vol. 2, pp. 777-782, 2003.<\/p>\n<p>79. Ashraf M. Abdelbar, Sherif Ragab, and Sara Mitri, \u201cApplying Co-Evolutionary Particle Swarm Optimization to the Egyptian Board Game Seega,\u201d Proceedings IEEE Congress on Evolutionary Computation (CEC-03) Workshop on Genetic Programming, pp. 9-15, 2003.<\/p>\n<p style=\"text-align: center\"><strong>2002<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>80. Ashraf M. Abdelbar, Sahar Attia, and Gene A. Tagliarini, \u201cA Hybridization of Bayesian and Neural Learning,\u2019\u2019 Neurocomputing, Vol. 48, pp. 443-453, October 2002.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>81.\u00a0 Ashraf M. Abdelbar, Ghada M. Bahig, and Larry R. Medsker, \u201cA Recurrent Network Approach to MAP Explanation,\u201d IEEE\/INNS International Joint Conference on Neural Networks, Vol. 3, pp. 2503-2508, 2002.<\/p>\n<p style=\"text-align: center\"><strong>2001<\/strong><\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>82. Ashraf Abdelbar, \u201cExtending Guided Evolutionary Simulated Annealing,\u201d Proceedings IEEE\/INNS International Joint Conference on Neural Networks, Vol. 4, pp. 2568-2573, 2001.<\/p>\n<p>83. Murad Assaggaf, and Ashraf M. Abdelbar, \u201cA Connectionist Approach to Evidential Reasoning,\u201d Proceedings IEEE\/INNS International Joint Conference on Neural Networks, 2001.<\/p>\n<p>84. Ashraf M. Abdelbar, Awad H. Khalil, and Emad Andrews, \u201cA Hybrid Neural-Annealing Approach to Knowledge Discovery,\u201d Proceedings Third ISCA International Conference on Information Reuse and Integration, pp. 42-44, Nov. 2001.<\/p>\n<p style=\"text-align: center\"><strong>2000<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>85. Ashraf M. Abdelbar, Steven T. Hedetniemi, and Sandra M. Hedetniemi, \u201cThe Complexity of Approximating MAPs for Belief Networks with Bounded Probabilities,\u201d Artificial Intelligence, Vol. 124, pp. 283-288, 2000.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>86. Ashraf M. Abdelbar, and M. Mohy Mahmoud, \u201cGenetic Optimization of Neural Network Preprocessing in a Financial Application,\u201d Proceedings Second ISCA International Conference on Information Reuse and Integration, Hawaii, pp. 107-110, 2000.<\/p>\n<p style=\"text-align: center\"><strong>1999<\/strong><\/p>\n<p><strong>Book Chapter<\/strong><\/p>\n<p>87. Ashraf M. Abdelbar, \u201cDesigning High Order Recurrent Networks for Bayesian Belief Revision,\u201d in: Larry Medsker, ed., Recurrent Neural Networks: Design and Applications, CRC Press, pp. 77-98, 1999.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>88. Ashraf M. Abdelbar, and Murad Assaggaf, \u201cRecurrent High Order Networks for Probabilistic Explanation,\u201d Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 3, pp. 1515-1520, 1999.<\/p>\n<p>89. Ashraf M. Abdelbar, \u201cA Linear Constraint Satisfaction Approach to Bayesian Networks,\u201d Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 6, pp. 4404-4408, 1999.<\/p>\n<p>90. Ashraf M. Abdelbar, and Sridhar Narayan, \u201cUsing Simulated Annealing to Optimize Receptive Fields for MLP Networks with Ensemble Encoding,\u201d Proceedings IEEE-INNS International Joint Conference on Neural Networks, Washington, DC, July 10-17, Vol. 6, pp. 4079-4083, 1999.<\/p>\n<p>91. Ashraf M. Abdelbar, and Sahar Attia, \u201cFinding Most Probable Explanations Using Simulated Annealing as a Genetic Operator,\u201d Proceedings World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, July 31-August 2, Vol. 8, pp. 131-139, 1999.<\/p>\n<p style=\"text-align: center\"><strong>1998<\/strong><\/p>\n<p><strong>Journal\u00a0<\/strong><\/p>\n<p>92. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, \u201cApproximating MAPs for Belief Networks is NP-Hard and Other Theorems,\u201d Artificial Intelligence, Vol. 102, pp. 21-38, 1998.<\/p>\n<p>93. Ashraf M. Abdelbar, \u201cAn Algorithm for Finding MAPs for Belief Networks through Cost-Based Abduction,\u201d Artificial Intelligence, Vol. 104, pp. 331-338, 1998.<\/p>\n<p>94. Ashraf M. Abdelbar, \u201cAchieving Superior Generalization with a High Order Neural Network,\u201d Neural Computing &amp; Applications, Vol. 7, pp. 141-146, 1998.<\/p>\n<p>95. Ashraf M. Abdelbar, and Gene A. Tagliarini, \u201cUsing Neural Network Learning in an Othello Evaluation Function,\u201d Journal of Experimental and Theoretical Artificial Intelligence, Vol. 10, pp. 217-230, 1998.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>96. Ashraf M. Abdelbar, and Gene A. Tagliarini, \u201cA Hybrid Bayesian Neural Machine Learning Strategy Applied to CONNECT-4,\u201d Proceedings IEEE International Joint Conference on Neural Networks, Anchorage, Alaska, Vol. 1, pp. 402- 407, 1998.<\/p>\n<p>97. Amr Goneid, Ibrahim Farag, Ashraf M. Abdelbar, and Abear Kamel, \u201cA Mahanobolis Distance Based Error Measure for Backpropagation Neural Networks,\u201d Proceedings International Conference on Neural Computation, Vienna, Austria, pp. 572-576, 1998.<\/p>\n<p>98. Mohamed M. Mahmoud, Ashraf M. Abdelbar, and Tarek Radi, \u201cA Framework for Evaluating Multiprocessor Scheduling Techniques,\u201d Proceedings ISCA International Conference on Parallel and Distributed Computing Systems, Chicago, Illinois, pp. 121-128, 1998.<\/p>\n<p>99. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, \u201cA Recursive Cubic-Order Neural Network for Generating Most Probable Explanations,\u201d Proceedings IMACS\/IEEE International Conference on Computational Engineering in Systems Applications, Tunis, 1998.<br \/>\n1997<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Conference Proceedings<\/strong><\/p>\n<p>100. Ashraf M. Abdelbar, and Sandra M. Hedetniemi, \u201cA Parallel Hybrid Genetic Algorithms Simulated Annealing Approach to Finding Most Probable Explanations on Bayesian Belief Networks,\u201d Proceedings IEEE International Conference on Neural Networks, Houston, Texas, Vol. I, pp. 450-455, 1997.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center\"><strong>1996<\/strong><\/p>\n<p>101. Ashraf M. Abdelbar, and Gene A. Tagliarini, \u201cHONEST: A New High Order Feedforward Neural Network,\u201d Proceedings IEEE International Conference on Neural Networks, Washington, DC, Vol. II, pp. 1250-1255, 1996.<\/p>\n<h3><\/h3>\n<ul><\/ul>\n<ul><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>BSc, MSc, PhD Professor Department of Mathematics and Computer Science, Brandon University BSc,\u00a0Computer Science, American University in Cairo, 1991. MSc, Computer Science, Clemson University, USA, 1994. PhD, Computer Science, Clemson University, USA, 1996. Research Interests Artificial intelligence, data mining, neural networks, ant colony optimization, particle swarm optimization, genetic algorithms, computer games. Publications 2019 Journal 1.\u00a0 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":13,"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":36,"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/pages\/2\/revisions\/36"}],"wp:attachment":[{"href":"https:\/\/people.brandonu.ca\/abdelbara\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}