This is the third of a three-part series on calibration and optimization. The first part can be accessed here. The second part can be accessed here. But what does that mean in practice? While I can find the optimal value of each objective, what does it mean to optimize all of them simultaneously? A solution that outperforms another solution in at least one objective is. Which is the ideal set of optimum solutions.

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