Evolving an Aircraft Using a Parametric Design System

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{byrne:eaauapds:2014,

• author = "Jonathan Byrne and Phillip Cardiff and Anthony Brabazon and Michael O'Neill",
• title = "Evolving an Aircraft Using a Parametric Design System",
• booktitle = "16th European Conference on the Applications of Evolutionary Computation (EvoMusArt 2014)",
• editor = "Juan Romero and James McDermott and Joao Correia",
• pages = "119--130",
• year = "2014",
• volume = "8601",
• series = "Lecture Notes in Computer Science",
• address = "Granada, Spain",
• month = apr,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-662-44334-7",
• DOI = "doi:10.1007/978-3-662-44335-4_11",
• abstract = "Traditional CAD tools generate a static solution to a design problem. Parametric systems allow the user to explore many variations on that design theme. Such systems make the computer a generative design tool and are already used extensively as a rapid prototyping technique in architecture and aeronautics. Combining a design generation tool with an evolutionary algorithm provides a methodology for optimising designs. This works uses NASA's parametric aircraft design tool (OpenVSP) and an evolutionary algorithm to evolve a range of aircraft that maximise lift and reduce drag while remaining within the framework of the original design. Our approach allows the designer to automatically optimise their chosen design and to generate models with improved aerodynamic efficiency.",

}

Genetic Programming entries for Jonathan Byrne Phillip Cardiff Anthony Brabazon Michael O'Neill

Citations