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| Titel: |
The Genetic Algorithm as an Automated Methodology for Helicopter Conceptual Design |
| Auteur: |
Crossley, Wlliam A. Laananen, David H. |
| Verschenen in: |
Journal of engineering design |
| Paginering: | Jaargang 8 (1997) nr. 3 pagina's 231-250 |
| Jaar: |
1997-09-01 |
| Inhoud: |
The genetic algorithm (GA) is a search algorithm that mimics the patterns of natural selection and reproduction displayed by biological populations. The GA's operation as a non-calculus-based search and optimization method makes it a good candidate for use in conceptual design. This paper presents a discussion of the use of a GA as an automated approach to conceptual design of helicopters. To accomplish this task, a GA was combined with an industry-standard helicopter sizing code. This resulting genetic algorithm-based design code was then used to generate conceptual designs for the medium lift replacement helicopter and a hypothetical attack helicopter. Results of these design efforts are discussed, providing insight into the use of a GA to automate the conceptual design of helicopters. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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