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De Novo programming; multiple objectives; linear programming; trade-offs
Mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives. In multiobjective linear programming problems it is usually impossible to optimize all objectives in a given system. Trade-offs are properties of inadequately designed system a thus can be eliminated through designing better one. Multiobjective De Novo linear programming is problem for designing optimal system by reshaping the feasible set. The paper presents approaches for solving the MODNLP problem, extensions of the problem, examples, and applications.
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