Assume a 3-2-1 (3 neurons in the input layer, 2 neurons in

the hidden layer and 1 neuron in the output layer) neural

network. How genetic algorithm can be used to find optimal

weights and biases of this neural network?

Also what will be the following:

(a) chromosome encoding

(b) fitness function

(c) selection operator

(d) crossover and mutation operator

(e) replacement strategy

(f) Show the complete computation for 1 generation. Assume

hyper parameters of GA and do the computation.