Evolving an Aircraft Using a Parametric Design System

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jonathan Byrne and Phillip Cardiff and 
                 Anthony Brabazon and Michael O'Neill",
  title =        "Evolving an Aircraft Using a Parametric Design
  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