  Cellular automata are discrete and computational models thatcan be shown as
general models of complexity. They are used in varied applications to derive
the generalized behavior of the presented model. In this paper we have took one
such application. We have made an effort to perform edge detection on an image
using genetic algorithm. The purpose and the intention here is to analyze the
capability and performance of the suggested genetic algorithm. Genetic
algorithms are used to depict or obtain a general solution of given problem.
Using this feature of GA we have tried to evolve the cellular automata and
shown that how with time it converges to the desired results.
