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Multidisciplinary design, analysis, and optimization tool development using a genetic algorithm (Document No: 20090010340)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Pak, Chan-gi Li, Wesley |
| Copyright Year | 2009 |
| Description | Multidisciplinary design, analysis, and optimization using a genetic algorithm is being developed at the National Aeronautics and Space Administration Dryden Flight Research Center (Edwards, California) to automate analysis and design process by leveraging existing tools to enable true multidisciplinary optimization in the preliminary design stage of subsonic, transonic, supersonic, and hypersonic aircraft. This is a promising technology, but faces many challenges in large-scale, real-world application. This report describes current approaches, recent results, and challenges for multidisciplinary design, analysis, and optimization as demonstrated by experience with the Ikhana fire pod design.! |
| File Size | 1520421 |
| Page Count | 23 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20090010340 |
| Archival Resource Key | ark:/13960/t4tj3gz48 |
| Language | English |
| Publisher Date | 2009-02-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Design, Testing And Performance Pods External Stores Nasa Programs Supersonic Aircraft Flutter Design Analysis Hypersonic Aircraft Genetic Algorithms Multidisciplinary Design Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
