
doi: 10.2514/3.47058
The genetic algorithm (GA) is a computational model of natural selection and reproduction displayed by biological populations. The capabilities of GAs as search and optimization methods make them well suited to perform conceptual design tasks. A GA has been developed and combined with an industry standard sizing code specifically for helicopter conceptual design. This GA-based program was used to generate conceptual designs for three helicopter missions. Results of these efforts are discussed, providing insight into the ability of the GA to perform helicopter conceptual design.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
