Title: Stellar population analysis of galaxies based on improved flower pollination algorithm

Authors: Mohamed Abdel-Baset; Ibrahim Selim; Yongquan Zhou; Ibrahim Hezam

Addresses: Faculty of Computers and Informatics, Department of Operations Research, Zagazig University, El-Zera Square, Zagazig, Sharqiyah, 44519, Egypt ' Computer Science Department, Integrated Thebes Institutes, National Research Institute of Astronomy and Geophysics (NRIAG), Cairo, 11421, Egypt ' College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, 530006, China ' Faculty of Education, Department of Computer, Ibb University, Ibb city, 1220, Yemen

Abstract: When numerical simulations are used for determining the age and contribution of different stellar populations in the integrated colour of a galaxy some problems were encountered. In this paper, a modified flower pollination algorithm (MFPA) is proposed for determining the age and relative contribution of different stellar populations of galaxies. The results show that the proposed algorithm can search efficiently through the very large space of the possible ages for the different integrated colour of galaxies. The proposed algorithm will be applied to an integrated colour of galaxy NGC 3384. The numerical results and statistical analysis show that the proposed algorithm performs significantly better than a previously used genetic algorithm (Attia et al., 2005) and cuckoo search (Abdel-Baset et al., 2015). The study revealed that the proposed algorithm can successfully be applied to a wide range of stellar population and space optimisation problems.

Keywords: FPA; flower pollination algorithm; meta-heuristics; optimisation; stellar population; galaxies.

DOI: 10.1504/IJMMNO.2018.088995

International Journal of Mathematical Modelling and Numerical Optimisation, 2018 Vol.8 No.3, pp.183 - 196

Received: 02 Jun 2017
Accepted: 05 Aug 2017

Published online: 26 Dec 2017 *

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