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Multicriteria analysis tools in real-life problems. (English) Zbl 1156.90390

Summary: Applied optimization problems such as design, identification, design of controlled systems, operational development of prototypes, analysis of large-scale systems, and forecasting from observational data are multicriteria problems in essence. Construction of the feasible solution set is of primary importance in the above problems. The definition of a feasible solution set is usually considered to be the skill of a designer. Even though this skill is essential, it is by no means sufficient for the correct statement of the problem. There are many antagonistic performance criteria and all kinds of constraints in these problems; therefore, it is quite difficult to correctly determine the feasible set. As a result, ill-posed problems are solved, and optimal solutions are searched for far from where they should be. As a consequence, the optimization results have no practical meaning. In this work we propose methods and tools that will assist the designer in defining the feasible solution set correctly.

MSC:

90B50 Management decision making, including multiple objectives
90B90 Case-oriented studies in operations research
90C29 Multi-objective and goal programming

Software:

SVMTorch; MOVI
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Full Text: DOI

References:

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