Continuous Genetic Algorithm : A Robust Method to Solve Higher Order Non-Linear Boundary Value Problem
Kavindra Soni, Mahendra Singh Khidiya · Zenodo (CERN European Organization for Nuclear Research) · 2017
The aim of this work is to find the solution of linear and nonlinear boundary value problem using genetic algorithm. A continuous genetic algorithm has been design and applied to the solution of fourth-order nonlinear boundary value problem. The genetic algorithm solves the differential equation by a process of evaluating the best fittest solutions curve from a family of randomly generated solution curves. This method is applicable to both the linear and nonlinear differential equation of fourth-order. Numerical results presented in the work illustrate the applicability of the genetic algorithm for fourth-order linear and nonlinear boundary value problem.