A New Approach to Solve Quadratic Equation Using Genetic Algorithm

Abstract

Solving quadratic equation efficiently is a real-world challenge

nowadays, due to its wide applications in the task of determining a product's

profit, calculating areas or formulating the speed of an object. The general ap-

proach of finding the roots of a quadratic equation is not enough efficient due to

the requirement of high computation time. Because of the Genetic Algorithm's

stochastic characteristics and efficiency in solving problems it can be used to

find roots of quadratic equation precisely. In modern athletics reducing the

computation time of solving the quadratic equation has been so inevitable

where using a genetic algorithm can find a quick solution that doesn't violate

any of the constraints and with high precision also. Optimization has been done

in the Crossover and Mutation process which has reduced the number of itera-

tions for solving the equation. It reduces the time complexity of the existing

approach of solving the quadratic equation and reaches towards the goal effi-

cientl