Abstract
An approach is proposed to solve a vector optimization problem for complex engineering and economic systems where the information about experimental and statistical data necessary to set up regression models is insufficient (or absent). To solve this problem, multiobjective optimization with nonlinear trade-off scheme is employed.
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