Journal Publications:
1. M. Omran and F. Glover. The AID Method for Global Optimization. Algorithmic Operations Research, vol. 6(2011), pp. 0-8, 2011.
2. M. Omran, V. Gardeux, R. Chelouah, P. Siarry and F. Glover. Using Interval Scanning to Improve the Performance of the Enhanced Unidimensional Search Method. Submitted to Journal of Heuristics, 2010.
3. M. Omran, Z. Geem and A. Salman. Improving the Performance of Harmony Search using Opposition-based Learning and Quadratic Interpolation. International Journal of Mathematical Modelling and Numerical Optimisation, vol. 2(1), pp. 28-50, 2011.
4. A. Salman, I. Ahmad, M. Omran and Mohammad Mohammad. Frequency Assignment Problem in Satellite Communications using Differential Evolution. Computers & Operations Research, Elsevier, vol. 37(12), pp. 2152-2163, 2010.
5. M. Omran. CODEQ: An Effective Meta-heuristic for Continuous Global Optimization. Accepted for publication in the International Journal of Metaheuristic, vol. 1(2), pp. 108-131, 2010.
6. M. Omran and A. Salman. Constrained Optimization using CODEQ. Chaos, Solitons & Fractals Journal, Elsevier, vol. 42(2), pp. 662-668, 2009.
7. S. al-Sharhan and M. Omran. A Parameter-Free Barebones Particle Swarm Methods for Unsupervised Pattern Classification. Submitted to Journal of Applied Soft Computing, Elsevier, 2008.
8. M. Omran, A. Engelbrecht and A. Salman. Bare Bones Differential Evolution. European Journal of Operation Research, Elsevier, vol. 196, no. 1, pp. 128-139, 2009.
9. M. Omran and M. Mahdavi. Global-best Harmony Search. Applied Mathematics and Computation Journal, Elsevier, vol. 198(2), pp. 643-656, 2008.
10. M. Omran, A. Engelbrecht, M. Zraibi and E. Omran. Empirical Analysis of Using Neighborhood Topologies with Differential Evolution. Advances in Computer Science and Engineering, vol. 1(3), pp. 189-222, 2008.
11. M. Omran, A. Engelbrecht and A. Salman. An Overview of Clustering Methods. Intelligent Data Analysis Journal, IOSPress, vol. 11, no. 6, 2007.
12. A. Salman, A. Engelbrecht and M. Omran. Empirical Analysis of Self-adaptive Differential Evolution. The European Journal of Operational Research, Elsevier, vol. 183, No. 2, pp. 785-804, 2007.
13. M. Omran, A. Salman and A. Engelbrecht. Dynamic Clustering using Particle Swarm Optimization with Application in Image Segmentation. Pattern Analysis and Applications Journal, Springer, vol. 8, no. 4, 2006.
14. M. Omran, A. Engelbrecht and A. Salman. A PSO-based End-Member Selection Method for Spectral Unmixing of Multispectral Satellite Images. International Journal of Computational Intelligence, vol. 2, no. 2, pp. 124-132, 2005.
15. M. Omran, A. Engelbrecht and A. Salman. A Color Image Quantization Algorithm Based on Particle Swarm Optimization. Special issue of Informatica Journal in multimedia mining in Soft Computing, vol. 29, no. 3, pp. 263-271, 2005.
16. M. Omran, A. Engelbrecht and A. Salman. Particle Swarm Optimization Method for Image Clustering. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, vol. 19, no. 3, pp. 297-322, May 2005.
17. A. Salman, M. Omran and A. Engelbrecht. SIGT: Synthetic Image Generation Tool for Clustering Algorithms. ICGST International Journal on Graphics, Vision and Image Processing (GVIP), vol. V2, pp. 33-44, January 2005.
18. J. Saghri, A. Tescher and M. Omran. Class-Prioritized Compression of Multispectral Imagery Data, Journal of Electronic Imaging, vol. 11(2), pp. 246-256, April 2002.
19. J. Saghri, A. Tescher, F. Jaradi and M. Omran. A Viable End-member Selection Scheme for Spectral Unmixing of Satellite Imagery Data, Journal of Imaging Science and Technology, vol. 44(3), pp. 196-203, 2000.
Book Chapters:
20. M. Omran. Using Opposition-based Learning with Particle Swarm Optimization and Barebones Differential Evolution. Particle Swarm Optimization, Aleksandar Lazinica (Editor), I-Tech Education and Publishing, Vienna, Austria, 2008.
21. M. Omran, A. Engelbrecht and A. Salman. Particle Swarm Optimization for Pattern Recognition and Image Processing. Swarm Intelligence and Data Mining, A. Abraham, C. Grosan and V. Ramos (Editors), Springer-Verlag, SCI Series 'Studies in Computational Intelligence', vol. 1, April 2006.
22. M. Omran, A. Engelbrecht and A. Salman. Image Classification using Particle Swarm Optimization. Recent Advances in Simulated Evolution and Learning, K. Tan, M. Lim, X. Yao and L. Wang (Editors), World Scientific, Series on Advances in Natural Computation, vol. 2, pp. 347-365, 2004.
Conference Publications:
23. M. Omran, I. Moukadem, S. al-Sharhan and M. Kinawi. Stochastic Diffusion Search for Continuous Global Optimization. To appear in the International Conference on Swarm Intelligence (ICSI 2011), Cergy, France, June, 2011.
24. M. Omran and A. Salman. Improving the Performance of CODEQ using Quadratic Interpolation. In the proceedings of the Second International Conference on Agents and Artificial Intelligence, vol. 1, pp. 265-270, Valencia, Spain, January, 2010.
25. M. Omran and S. al-Sharhan. Optimization of Discrete Values using Recent Variants of Differential Evolution. In the proceedings of the 4th IASTED international Conference on Computational Intelligence, Hawaii, USA, August, 2009. (http://www.actapress.com/Abstract.aspx?paperId=35346)
26. M. Omran and A. Engelbrecht. Free Search Differential Evolution. In the proceedings of the IEEE Congress on Evolutionary Computation (CEC’2009), pp. 110-117, Norway, May 2009.
27. M. Omran and S. al-Sharhan. Using Opposition-based Learning to Improve the Performance of Particle Swarm Optimization. In the proceedings of the IEEE Swarm Intelligence Symposium (SIS'08), pp. 1-6, USA, Sep., 2008.
28. M. Omran and S. al-Sharhan. Barebones Particle Swarm Methods for Unsupervised Image Classification. In the proceedings of the IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 3247-3252, September 2007.
29. Mahamed Omran, Andries Engelbrecht and Ayed Salman. Self-Adaptive Barebones Differential Evolution. In the proceedings of the IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 2858-2865, September 2007.
30. Mahamed Omran and Andries Engelbrecht. Differential Evolution for Integer Programming Problems. In the proceedings of the IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 2237-2242, September 2007.
31. M. Omran, A. Engelbrecht and A. Salman. Barebones Particle Swarm for Integer Programming Problems. In the Proceedings of the IEEE Swarm Intelligence Symposium (SIS'07), Honolulu, Hawaii, USA, pp. 170-175, IEEE Press, April 2007.
32. M. Omran, A. Engelbrecht and A. Salman. Differential Evolution based Particle Swarm Optimization. In the Proceedings of the IEEE Swarm Intelligence Symposium (SIS'07), Honolulu, Hawaii, USA, pp. 112-119, IEEE Press, April 2007.
33. M. Omran and A. Engelbrecht. Self-Adaptive Differential Evolution Methods for Unsupervised Image Classification. In the Proceedings of the IEEE International Conferences on Cybernetics and Intelligent Systems (CIS 2006), Bangkok, Thailand, pp. 1-6, IEEE Press, June 2006.
34. M. Omran, A. Engelbrecht and A. Salman. Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. The Second International Conference on Natural Computation (ICNC'06), Xi'an, China, Springer's Lecture Notes in Computer Science, vol. 4221, pp. 976-979, 2006.
35. M. Omran, A. Engelbrecht and A. Salman. Fully Informed Differential Evolution. In the Proceedings of the 2006 International Conference on Computational Intelligence and Security (co-sponsored by IEEE and Springer), November, Guanghzou, China, vol. 1, pp. 278-281, IEEE Press, 2006.
36. A. Engelbrecht and M. Omran. Using Tournament/Roulette-wheel selections with Differential Evolution. In the Proceedings of the 2006 International Conference on Computational Intelligence and Security (co-sponsored by IEEE and Springer), November, Guanghzou, China, 2006.
37. M. Omran, A. Engelbrecht and A. Salman. Differential Evolution Methods for Unsupervised Image Classification. IEEE Congress on Evolutionary Computation (CEC2005), vol. 2, pp. 966-973, IEEE Press, September 2005.
38. M. Omran, A. Salman and A. Engelbrecht. Self-Adaptive Differential Evolution. The 2005 International Conference on Computational Intelligence and Security (co-sponsored by IEEE and Springer), December, Xi'an, China, Springer's Lecture Notes in Artificial Intelligence, vol. 3801, pp. 192-199, Springer, 2005.
39. M. Omran, A. Engelbrecht and A. Salman. Using Neighborhood Topologies with Differential Evolution. The Workshop Proceedings of the 2005 International Conference on Computational Intelligence and Security (co-sponsored by IEEE and Springer), December, Xi'an, China, 2005.
40. M. Omran, A. Salman and A. Engelbrecht. Dynamic Clustering using Particle Swarm Optimization with Application in Unsupervised Image Classification. Fifth World Enformatika Conference (ICCI 2005), Prague, Czech Republic, 2005.
41. A. Saxena, A. Salman and M. Omran. On the use of Small World Theory with Particle Swarm Optimization. Fifth World Enformatika Conference (ICCI 2005), Prague, Czech Republic, 2005.
42. M. Omran. New Strategies for Differential Evolution. In the 3rd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2005), Singapore, 2005.
43. M. Omran, A. Salman and A. Engelbrecht. Image Classification using Particle Swarm Optimization. In Conference on Simulated Evolution and Learning, Singapore, vol. 1, pp. 370-374, November 2002.
44. J. Saghri, A. Tescher and M. Omran. Feature Prioritized Compression of Multispectral Imagery Data. In the 2001 SPIE's Annual International Symposium; conference on Applications of Digital Image Processing, vol. 4472, no. 39, San Diego, July 2001.
45. J. Saghri, A. Tescher and M. Omran. Impact of Lossy Compression on the Classification of Remotely-Sensed Imagery Data. In the 2000 SPIE's Annual International Symposium; conference on Applications of Digital Image Processing, vol. 4115, no. 13, San Diego, July 2000.
46. J. Saghri, A. Tescher, F. Jaradi and M. Omran. End-member Selection for Spectral Unmixing of Remotely-Sensed Imagery Data. In Proceedings of SPIE, vol. 3808, no. 108, Denver, July 1999.
arXiv e-prints:
47. M. Omran and F. al-Adwani. Using CODEQ to Train Feed-forward Neural Networks. arXiv:1002.0745v1 [cs.NE], online at www.arXiv.org
