The work is carried on the application of differential equation (DE) and its computational technique of genetic algorithm and neural (GANN) in C#, which is frequently used in globalised world by human wings. Diagrammatical and flow chart presentation is the major concerned for easy undertaking of these two concepts with indication of its present and future application is the new initiative taken in this paper along with computational approaches in C#. Little observation has been also pointed during working, functioning and development process of above algorithm in C# under given boundary value condition of DE for genetic and neural. Operations of fitness function and Genetic operations were completed for behavioural transmission of chromosome. Overall working process of model is based on Initialization and Termination control of chromosome with its intermediates. Discussion is also extended with the presentation of similar application of neural & genetic concept used in various multidisciplinary fields. The computational of the DE model is verifies for a particular function (Mg(x) = exp(x)+sin(x)) which corresponds to the chromosome g for different quantities and penalty of fitness. Rule of thumb has been explained for better understanding of the Decision criteria on when to use Genetic Algorithms versus when to use Neural Networks to solve a problem is also presented Index Term: Boundary value Differential equation, Genetic & Neural Algorithm, Transmission of chromosome, Fitness function & Genetic operations and C# computation.