Functional Optimization Of Non linear Function(y=sinx) using Genetic Algorithm. Crossover and mutation are used to generated the other chromosomes. This is repeated for generations to get the maximum value of the nonlinear function.
Yella (2020). Functional Optimization Of Non linear Function using Genetic Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/32687-functional-optimization-of-non-linear-function-using-genetic-algorithm), MATLAB Central File Exchange. Retrieved .