The Genetic Algorithm as an Automated Methodology for Helicopter Conceptual Design

• WILLIAM A. CROSSLEY ^[1] ; DAVID H. LAANANEN ^[2]
  1. [1] Purdue University

     Purdue University

     Township of Wabash, Estados Unidos

     
  2. [2] Arizona State University

     Arizona State University

     Estados Unidos

     
• Localización: Journal of Engineering Design, ISSN 0954-4828, Vol. 8, Nº. 3, 1997, págs. 231-250
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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.