Stellar population analysis of galaxies based on improved flower pollination algorithm
by Mohamed Abdel-Baset; Ibrahim Selim; Yongquan Zhou; Ibrahim Hezam
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 8, No. 3, 2018

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.

Online publication date: Tue, 26-Dec-2017

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