The Genetic Algorithm as an Automated Methodology for Helicopter Conceptual Design
William Crossley, David H. Laananen · Journal of Engineering Design · 1997
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.