Hi,
I implemented a multi-objective optimization algorithm.
I tested it with with uf1 problem.
The result is in the following figure (the pareto front is in black and the obtained result are in red). I have a question please. Does it make sense to find in the result negative values?
Thank you for your help
If this is your UF1
then obviously with x1 in [0,1] and xj in [-1,1] there is no chance in getting a negative value for f1 or f2. If you have negative values you probably made a mistake. Did you check the model status (for feasible solution)? It would help if you post some source.
-Michael