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The weighted-sum scalarization combines two objective functions into a single aggregate objective $J$ by multiplying the first objective by a weight $w_1$ and the second objective by the complementary weight $1-w_1$.

Conditions: There are exactly two objectives being combined.; The second weight is defined as $1-w_1$.; The objective is to minimize or maximize the combined scalar $J$.

The weighted-sum scalarization combines two objective functions into a single aggregate objective $J$ by multiplying the first objective by a weight $w_1$ and the second objective by the complementary weight $1-w_1$.

Conditions: There are exactly two objectives being combined.; The second weight is defined as $1-w_1$.; The objective is to minimize or maximize the combined scalar $J$.