genetic_algorithms | Simple demonstration of Evolution of Neural Networks | Machine Learning library

genetic_algorithms is a C++ library typically used in Artificial Intelligence, Machine Learning applications. genetic_algorithms has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Essentially, Genetic Algorithms (GA) are a method of "breeding" computer programs and solutions to optimization or search problems by means of simulated evolution. Processes loosely based on natural selection, crossover, and mutation are repeatedly applied to a population of neural networks which represent potential solutions. Over time, the number of above-average individuals increases, and better fit individuals are created, until a good solution to the problem at hand is found. Our genetic algorithm works with not one but multiple populations, all of which in a large degree evolve separately except for minor interbreeding where we allow different populations to mix with each other.