Simple genetics algorithm(GA) project urgent

you will implement a simple genetic algorithm with fitness-proportionate selection (roulette-wheel selection), population size 100, single-point crossover rate pc = 0.7, and bitwise mutation rate pm = 0.001. Use following fitness function: f(x) = number of ones in x, where x is an individual or vector (genome) of length 20 with randomly assigned zeros and ones to start with. Perform 50 generations, and measure the generation at which the string of all ones is discovered (optimal string).