It is justified that design is an inverse problem, and the optimization is a paradigm. Classes of design problems are proposed and typical obstacles are recognized. Peculiarities of the mechatronic designing are specified as a proof of a particle importance of optimization in the mechatronic design. Two main obstacles of optimization are discussed: a complexity of mathematical models and an uncertainty of the value system, in concrete case. Then a set of non-standard approaches and methods are presented and discussed, illustrated by examples: a fuzzy description, a constraint-based iterative optimization, AHP ranking method and a few MADM functions in Matlab.
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Długosz A. (2013), Multicriteria optimization in conjugated field problems (in Polish), Wydawnictwo Politechniki Śląskiej, Gliwice.
Tarnowski W. (2009), Simultaneous optimization of a machine and a process (in Polish), Problemy Eksploatacji: reprint from: Bioagrotechnical Systems Engineering, 2, 17-34.
Tarnowski W. (2015), Fuzzy and Soft Poly-Optimization in the Digital Environment – Examples, chapter 9 in Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing, red. A Kumar, IGI Global, Hershey, Pennsylvania USA, 180-200.
Tarnowski W. Krzyzynski T., Maciejewski I., Oleskiewicz R. (2009), Poly-optimization - a paradigm in engineering design in mechatronics, Archive of Applied Mechanics, Archive of Applied Mechanics, 81(2), 141-156.
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