The upcoming CPLEX release features multiobjective optimization. Available for LPs and MIPs, it allows to specify combinations of hierarchical and blended objectives, and gives you an optimal solution for your instance. Thanks to tolerances on each sub-objective, you can evaluate the impact that each objective has on the others. And the weights on each objective allow to scale each objective, either for trade-off exploration, or to help numerical stability.
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