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The two objectives were combined using adaptive weighted sum method.
We choose the sum method as our test case.
Weighted sum method is adopted in this paper.
Normalized weighted sum method was employed as means of selection of optimum mix design.
A normalized weighted sum method is applied to unify the objective functions.
A normalized weighted sum method is suggested to unify these objectives.
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In this section, we develop our other scalarization method, referred to as weighted-sum method, to solve (4).
Meanwhile, against to the products in example, the overall customer satisfaction obtained with the traditional weighted-sum method is confirmed to be underestimated.
In addition, the solutions from the NSGA-II are more diverse on the multi-objective space than those of the Weighted-Sum method.
A multi-objective optimization is carried out via the Pareto front generation, which is obtained by an adaptive weighted-sum method.
The multi-objective optimization problem was solved by using the weighted-sum method that imposes a penalty for risk to the objective function.
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