This is a reasonable question but I believe you are misunderstanding. The randomization of parameters in a neural network (I assume you are talking about initialization?) is certainly not the same as a mutation in a GA. Mutation occurs randomly, sure, but is selected for and crossed over, whereas hill-climbing and gradient descent simply move on the gradient and do not use either random mutations or cross-over so are not genetic.