I need to maximize several objective functions $ f_i(x)$, that I have arranged in a vector. $ f(x) = [ f_1(x) , f_2(x) \cdots, f_K(x) ]^T $. Essentially, my question is whether I can represent the same multi-objective function using conjunctive normal forms, as shown below $$ \max_{x \in \Omega} f(x) \equiv \max_{x \in \Omega} \bigwedge^K_{i=1} f_i(x) $$ Thank you!
2026-03-25 04:35:06.1774413306
Using notation of conjunctive normal forms for multi-objective optimization.
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