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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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Determining the optimize lambda in Multi-Objective Optimization

I have a convex optimization problem: Maximize obj1 Minimize obj2 Some constraint Now to solve this problem, I used lambda to make it one problem: Maximize lambda * obj1 - (1-lambda) * obj2 …
Soroosh Noorzad's user avatar