1. Multi-objective, multi-domain genetic optimization of a hydraulic rescue spreader.
- Author
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Sullivan, Thomas A. and Van de Ven, James D.
- Subjects
- *
GENETIC algorithms , *HYDRAULICS , *MATHEMATICAL optimization , *KINEMATICS , *MATHEMATICAL bounds - Abstract
In this paper, general strategies are presented by which a multi-domain, multi-objective, mechanism-based optimization problem may be efficiently formulated and solved by means of a genetic algorithm. These strategies include integration of traditional precision position techniques with genetic optimization, efficient selection of design variables and search bounds, and a nested optimization structure. A case study illustrating these methods is presented in which a hydraulic rescue spreader is simultaneously optimized for four objectives relating to structural efficiency and kinematic behavior. The solution obtained is shown to be equal or superior to a comparable commercially available device with respect to all four objectives. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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