Aircraft conceptual design by genetic/gradient-guided optimization

Engineering Applications of Artificial Intelligence

Volumn 11, Issue 3, 1998, Pages 377-382

  Bos, A H W ^a,b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Computer aided design; Genetic algorithms; Multidisciplinary design optimization

Indexed keywords

CONSTRAINT THEORY; GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; SUPERSONIC AIRCRAFT; TRANSPORT AIRCRAFT;

AIRCRAFT CONCEPTUAL DESIGN; GRADIENT-GUIDED OPTIMIZATION; MULTIDISCIPLINARY DESIGN OPTIMIZATION;

COMPUTER AIDED DESIGN;

EID: 0032089707     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0952-1976(98)00009-8     Document Type: Article

References (6)

1. Bos, A.H.W., 1996a. Multidisciplinary Design Optimization of a Second-Generation Supersonic Transport Aircraft using a Hybrid Genetic/Gradient-guided Algorithm. Ph.D. dissertation, Delft University of Technology.
2. Bos, A.H.W., 1996b. Multidisciplinary Design Optimization of a Supersonic Transport Aircraft using a Hybrid Genetic/Gradient-Based Algorithm. AIAA 96-4055.
3. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, U.S.A..
4. Grefenstette, J.J., 1990. A User's Guide to GENESIS. Version 5.0.
5. Sobieszczanski-Sobieski, J., 1982. A Linear Decomposition Method for Large Optimization Problems - Blueprint for Development. NASA TM 83248.
6. Sobieszczanski-Sobieski, J., 1988. Optimization by Decomposition: a Step from Hierarchic to Non-hierarchic Systems. NASA CP-3031 part 1.