The Genetic Algorithm (GA) is a genetic and
natural selection-based search-based optimization
technique. It is often employed in the search for optimal
or near-optimal solutions to complex problems that could
take a lifetime to solve. It's widely used in science and
machine learning to solve optimization problems. In
computer science and operations research, a genetic
algorithm (GA) is a metaheuristic influenced by natural
selection that belongs to the broader class of evolutionary
algorithms. The aim of this article is to look about the
Genetic Algorithm, Basic Terminologies and the it’s
various applications in different fields. This paper also
focuses on explaining the various types of representation
of Genetic Algorithm and various Merits and Demerits of
Genetic Algorithm (GA).
Keywords : Algorithm, Operator, Terminology, Presentation.