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Dynamic system design via multicriteria optimization. (English) Zbl 0898.90068

Fandel, G√ľnter (ed.) et al., Multiple criteria decision making. Proceedings of the 12th international conference, Hagen, Germany, June 19–23, 1995. Berlin: Springer. Lect. Notes Econ. Math. Syst. 448, 467-478 (1997).
Summary: Dynamic system design is formulated as a multicriteria optimization problem. The dynamic behavior of dynamic systems is described by nonlinear differential equations of motion found from the multibody system approach. Parameters of the multibody system serve as design variables in order to optimize the system with respect to its dynamic behavior which is evaluated by multiple integral type objective functions. Multicriteria optimization strategies are used to reduce the design problem to nonlinear programming problems. The gradients required for optimization are found from a semi-analytical sensitivity analysis. Problems resulting from an application of conventional optimization strategies to a vehicle design problem are discussed.
For the entire collection see [Zbl 0861.00026].

MSC:

90B50 Management decision making, including multiple objectives
93B51 Design techniques (robust design, computer-aided design, etc.)
90C90 Applications of mathematical programming
90C29 Multi-objective and goal programming

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