Study of Galaxy Evolution Through GA-SVM

Galaxies’ development and progress are the major problems in cosmology. Evolution of galaxies plays a vital role in cosmographic senses. Several researchers found that galaxies’ evolution takes place by merging different subsystems. These subsystems form the basis for the galaxy evolution. Also, cosmic time depends on lens statistics which is associated with the quality of lens statistics. Galaxy development depends on the factors like masses surrounding the galaxies. In this study, we formulated models which help in understating the formulation of galaxies with the help of support vector machines embedded with genetic algorithms. The models which are formulated depend on the distribution function of galaxies. Datasets are analysed with the help of HST rules. The major contribution of the anti-evolutionary model is to identify the small angle of separation of galaxies more precisely. This study is carried out on the publicly available EDGE database. This paper describes the analysis of galaxies with genetic algorithms.