Ibrahim M. Selim

Work place: National Research Institute of Astronomy and Geophysics (NRIAG), 11421 Helwan, Cairo, Egypt

E-mail: i_selim@yahoo.com


Research Interests: Applied computer science, Computer systems and computational processes, Artificial Intelligence, Data Mining, Decision Support System, Data Structures and Algorithms


Ibrahim Selim received his MS and PhD in Computer Science from Cairo university. Currently, he is a Professor in the Computer Science Department, higher technological institute 10th of Ramadan city. His current research interests are mathematics, networks, artificial intelligence, optimization, digital image processing and pattern recognition.

Author Articles
Cuckoo Search Algorithm for Stellar Population Analysis of Galaxies

By Mohamed Abdel-Baset Ibrahim M. Selim Ibrahim M. Hezam

DOI: https://doi.org/10.5815/ijitcs.2015.11.04, Pub. Date: 8 Oct. 2015

The cuckoo search algorithm (CS) is a simple and effective global optimization algorithm. It has been applied to solve a wide range of real-world optimization problem. In this paper, an improved Cuckoo Search Algorithm (ICS) is presented for determining the age and relative contribution of different stellar populations in galaxies. The results indicate that the proposed method performs better than, or at least comparable to state-of-the-art method from literature when considering the quality of the solutions obtained. The proposed algorithm will be applied to integrated color of galaxy NGC 3384. Simulation results further demonstrate the proposed method is very effective. The study revealed that cuckoo search can successfully be applied to a wide range of stellar population and space optimization problems.

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