Genetic algorithms imply generating & combining of different solutions with the subsequent gradual improvement in accordance to a certain efficiency criteria. In international practice, genetic algorithms are used to solve various optimization issues — in particular, those which concern the software development. The utilization of the genetic algorithms for optimization of the program code is a very promising direction that offers extra automation in terms of search for effective and productive solutions in the software development process. Genetic algorithms contribute to increasing of the code performance, improving its structure and reducing resource consumption, which is crucial in today’s competitive world. Despite the fact that this method has certain limitations and flaws, the constant improving of algorithms & increasing of computing capabilities step by step make it widely accessible in the software development circumstances of the real world. Creation of the neural network for automatic code optimization (as well as the development of a program that directly modifies the code) is an extremely resource-intensive task. Even provided that the network of powerful comp
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