Designing a neural network for the constraint optimization of the fitness functions devised based on the load minimization of the genetic code

In this study, a neural network, which estimates a highly optimized genetic code in a relatively short period of time has been devised. Several fitness functions were used throughout this text. Meanwhile, we have made use of two cost measure matrices, PAM74-100 and mutation matrix.