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Multi-objective optimization is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Involve two or more optimization goals that are conflicting, meaning that improvement to one objective comes at the expense of another objective. The two methods for perform a multi-objetive-optimization are Pareto and scalarization.

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How to calculate the trade-off between objectives in multi-objective optimization?

In the simple case, with only two objectives, I would like to know if it is possible to answer a question like: How many units of objective 1 do I need to reduce, in order to improve objective 2 by o …
Nara Begnini's user avatar