I am looking for a problem that is analogous to the optimization problem I am trying to solve. I have a third-party optimizer that takes a set of weights (floating point values) from a user, then runs an multicriteria optimization algorithm of its own and gives a resulting residual (a set of floating point values representing how well the objective was met). I am hoping to integrate jmetalpy optimization in to replace the user interaction. Is there a similar standard problem where weights are entered and a "black box" feeds back resulting residuals?
I am looking for a problem that is analogous to the optimization problem I am trying to solve. I have a third-party optimizer that takes a set of weights (floating point values) from a user, then runs an multicriteria optimization algorithm of its own and gives a resulting residual (a set of floating point values representing how well the objective was met). I am hoping to integrate jmetalpy optimization in to replace the user interaction. Is there a similar standard problem where weights are entered and a "black box" feeds back resulting residuals?