The typical genetic algorithm identifies the most fit member from the population at each generation. At some point the program stops the search and presents the user with the final selection.
That's all you have to work with.
It depends upon the particular implementation of the algorithm...
Try Genetic Algorithms in Plain English.
Neural networks are completely different animals and generally not considered to be in the evolutionary computation realm. Think of genetic programming and genetic algorithms as a biological process applied to non-biological problems. Neural networks...