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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2008.5
- 수록면
- 39 - 42 (4page)
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This paper explores the application of a Multidisciplinary Design Optimization (MDO) framework utilizing approximation model-based genetic algorithms for the improvement of aerodynamic and sonic boom performance levels of supersonic business jet configurations. Global approximation models for both performance criteria are constructed based on sample data calculated at the pre-selected parameter sets within design space using Kriging method. These models are then applied to a multi-objective genetic algorithm code to supply the required objective function data. The combination of the approximation models and genetic algorithms constitutes a robust and efficient MDO framework. The results of a realistic design case are presented. which validate the efficiency and applicability of the proposed method.
목차
ABSTRACT
INTRODUCTION
OVERVIEW OF KRIGING METHOD
MULTI-OBJECTIVE GENETIC ALGORITHMS
DESIGN TOOLS
RESULTS
CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-410-011286603