<p>You can try fitness uniform selection <a href="https://arxiv.org/abs/cs/0103015" rel="nofollow noreferrer">https://arxiv.org/abs/cs/0103015</a>. 
But,  IMHO the results won't be very good. </p>
distribution of population in genetic algorithms
<p>My questions is ,if there are  genetic optimization algorithms where the population keeps i.i.d (independ identically distributed) during all iterations. The most common ones like NSGA2 or SPEA2 mix the current population with the previous one so that mixed population is no longer iid. But are there algorithms where the distribution of the population changes during optimization but still remains i.i.d?</p>