The promising results obtained from the example presented in the previous
section seem to justify a combination of the two optimization strategies. As a
global optimizer the very fast simulated re-annealing algorithm was used due to its better overall
performance compared to the genetic algorithm. The same application as in the
last section was used, but instead of only using a fixed number of evaluations,
it was tried to (a) achieve the best target value obtained so far ()
with the least possible number of evaluations and (b) to achieve a better target
value with the given number of fixed evaluations.
The following algorithm was implemented to perform a combined optimization.