Work place: Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, El-ZeraSquare, Zagazig, Sharqiyah, Egypt
E-mail: henawy2000@yahoo.com
Website:
Research Interests: Computer systems and computational processes, Decision Support System, Combinatorial Optimization, Models of Computation
Biography
Mohamed Abd El-Baset received the B.Sc. degree in information system and technology from Zagazig University in 2006, and he obtained his M.S. degree in operations research and decision support systems from Zagazig University, in 2011. Currently, he is a teaching assistant in operations research department, Zagazig University. His current research interests are characterization of probability distribution, optimization, Intelligent Computing, Evolutionary Computation and decision support systems.
By Osama Abdel-Raouf Mohamed Abdel-Baset Ibrahim El-henawy
DOI: https://doi.org/10.5815/ijitcs.2014.06.03, Pub. Date: 8 May 2014
In this paper, an Improved Firefly Algorithm with Chaos (IFCH) is presented for solving definite integral. The IFCH satisfies the question of parallel calculating numerical integration in engineering and those segmentation points are adaptive. Several numerical simulation results show that the algorithm offers an efficient way to calculate the numerical value of definite integrals, and has a high convergence rate, high accuracy and robustness.
[...] Read more.By Osama Abdel-Raouf Mohamed Abdel-Baset Ibrahim El-henawy
DOI: https://doi.org/10.5815/ijisa.2014.05.05, Pub. Date: 8 Apr. 2014
This paper presents an improved version of a harmony meta-heuristic algorithm, (IHSCH), for solving the linear assignment problem. The proposed algorithm uses chaotic behavior to generation a candidate solution in a behavior similar to acoustic monophony. Numerical results show that the IHSCH is able to obtain the optimal results in comparison with traditional methods (the Hungarian method). However, the benefit of the proposed algorithm is its ability to obtain the optimal solution within less computation in comparison with the Hungarian method.
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