Open Access
Present-day Problems and Methods of Optimization in Mechatronics
| Jun 15, 2017
Published Online: Jun 15, 2017
Page range: 154 - 165
Received: Oct 10, 2016
Accepted: Jun 02, 2017
DOI: https://doi.org/10.1515/ama-2017-0024
Keywords
Mechatronics, Optimization, Poly-optimization, Evolutionary Algorithms, Artificial Intelligence, Genetic Algorithm, Soft Optimization, Multi-Attribute Decision Making (MADM), Inverse Problem, Engineering Design, Fuzzy Control, Linguistic Criteria, Mathematical Models, Pareto Solutions, Trade-Off Solutions, Compromise Solutions, Fuzzy Logic
© 2017 Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.