Novel Solution of Nonlinear Equations Using Genetic Algorithm

Abstract

Nonlinear equations represent highly complex systems and their solutions by conventional methods have high computational complexity. Methods like Bisection, Regula Falsi, Newton--Raphson, Secant, Muller, etc., are used to solve such problems. This work find gaps in the existing methods and justifies the applicability of Genetic Algorithm to the problem. A Genetic Algorithm-based method has been proposed, which is more efficient and produces better results as compared to the existing methods.