Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Genetic Algorithm based image enhancement for Astroinformatics

Author : Viplove Divyasheesh 1

Date of Publication :7th March 2016

Abstract: We review the current state of Genetic Algorithms in image enhancement problems in Astroinformatics. Genetic Algorithm is related to biological background, in sense that it follows Darwin theory of natural evolution “the survival of the fittest”. In this theory Sir Charles Darwin implies that one individual who is fit among the population will survive and reproduce to next generation. The genetic algorithm is first proposed by John Holland in 1975. In genetic algorithms first of all we will understand some terminologies to get insight of the process. Main terms are gene, chromosome, individual, population. Gene is smallest unit of information carrying capacity. Individual is a set of genes carrying information and further set of individuals is population.

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