Access all candidates(or populations) with their corresponding fitnesses from each iteration

[hoasxyz]

When using borg_moea, is there a way to access all candidates and their corresponding fitness from each iteration, not just the optimal candidate and its optimal fitness as mentioned in #187 ? For multi-objective optimization, it's often necessary to have multiple solutions (Pareto frontier), rather than a single solution derived from scalarizing multiple objectives.

[SebastianM-C]

That approach should work in this case too, since BlackBoxOptim.best_fitness seems to return a BlackBoxOptim.IndexedTupleFitness, which contains all the candidates in .orig.