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Rafid Sagban |
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Department of Computer Science, University of Babylon, Babil |
Regular Member |
Personal Web Site: |
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1086 |
Short Biography |
Dr. Rafid holds
a Bachelor in Computer Sciences from University of Babylon, Iraq in 1999 and Higher
Diploma in Data Security from Iraqi Commission for Computers and Informatics in
2001. His Master’s degree and Ph.D in Information Technology are both from
Northern University of Malaysia, Malaysia in 2015. Rafid's research and
development experience includes over 13 years in the Academia and Industry. He
works in a multi-disciplinary environment involving algorithm analysis, swarm
intelligence algorithms, business intelligence, internetworking, and web graphics and optimization. |
List of top 5 publications in the last 5 years |
Sagban, R., Ku-Mahamud, K. R.,
& Bakar, M. S. A. (2014). Reactive memory model for ant colony optimization
and its application to TSP. In Proceedings of ICCSCE2014: The 4th International
Conference on Control System, Computing and Engineering (pp. 310 – 315).
Malaysia, Penang: IEEE. doi:10.1109/ICCSCE.2014.7072736. (Scopus Indexed) Sagban, R., Ku-Mahamud, K. R., & Bakar, M. S. A. (2015). Reactive Max - Min Ant System: An Experimental Analysis of the Combination with K - Opt Local Searches. In Proceedings of 5th International Conference on Computing and Informatics, ICOCI 2015 (pp. 300–305). Istanbul, Turkey. (ISI/Scopus Indexed) Sagban, R., Ku-Mahamud, K. R., & Bakar, M. S. A. (2017). Reactive max-min ant system with recursive local search and its application to TSP and QAP. Intelligent Automation & Soft Computing, 23(1), 127-134. (ISI/Scopus Indexed) Sagban, R., Ku-Mahamud, K. R.,
& Bakar, M. S. A. (2015). ACOustic : A Nature-Inspired exploration
indicator for ant colony optimization. The Scientific World Journal, 2015,
1–11. doi:10.1155/2015/392345. (Scopus Indexed) Sagban, R., Ku-Mahamud, K. R., & Bakar, M. S. A. (2015). Nature-Inspired Parameter Controllers for ACO-based Reactive Search. Research Journal of Applied Sciences, Engineering and Technology, 11(1), 107-117 (Scopus Indexed) Sagban, R., Ku-Mahamud, K. R.,
& Bakar, M. S. A. (2015). Intensification and Diversification in Ant
Colony Optimization: An Overview and a Unified Approach for Automation. Accepted in International
Journal of Computational Intelligence Systems.(ISI/Scopus Indexed)
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List of top 5 academic activities during the last 5 years |
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