Initialisation
From Adaptive Population based Simplex
Basic initialisation (i0)
Draw at random N agents (positions) in the search space, according to an uniform distribution.
N=max
where D is the dimension of the search space. Note that N needs to be at least equal to D+ We will need the volume V(0) of the previous simplex. As no one has been defined yet, we simply set it to 0: UNIQ69a446678ceaeca2-MathJax-3-QINU === Population cost === Evaluate the N individuals. Save the best one as Best. The sum of all values (they are all supposed to be positive, which is always possible), is the initial ''population cost'' C$. We are trying here to minimise it.