Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{Harding:2012:PABA,
-
author = "Simon Harding and W. Banzhaf",
-
title = "Optimizing Shape Design with Distributed Parallel
Genetic Programming on GPUs",
-
booktitle = "Parallel Architectures and Bioinspired Algorithms",
-
publisher = "Springer",
-
year = "2012",
-
editor = "Francisco {Fernandez de Vega} and
Jose Ignacio {Hidalgo Perez} and Juan Lanchares",
-
volume = "415",
-
series = "Studies in Computational Intelligence",
-
chapter = "2",
-
pages = "51--75",
-
keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming, GPU",
-
isbn13 = "978-3-642-28788-6",
-
URL = "http://www.amazon.com/Architectures-Bioinspired-Algorithms-Computational-Intelligence/dp/3642287883",
-
DOI = "doi:10.1007/978-3-642-28789-3_3",
-
abstract = "Optimised shape design is used for such applications
as wing design in aircraft, hull design in ships, and
more generally rotor optimisation in turbomachinery
such as that of aircraft, ships, and wind turbines. We
present work on optimized shape design using a
technique from the area of Genetic Programming,
self-modifying Cartesian Genetic Programming (SMCGP),
to evolve shapes with specific criteria, such as
minimised drag or maximised lift. This technique is
well suited for a distributed parallel system to
increase efficiency. Fitness evaluation of the genetic
programming technique is accomplished through a custom
implementation of a fluid dynamics solver running on
graphics processing units (GPUs). Solving fluid
dynamics systems is a computationally expensive task
and requires optimisation in order for the evolution to
complete in a practical period of time. In this
chapter, we shall describe both the SMCGP technique and
the GPU fluid dynamics solver that together provide a
robust and efficient shape design system.",
-
affiliation = "IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza
Artificiale), Lugano, Switzerland",
- }
Genetic Programming entries for
Simon Harding
Wolfgang Banzhaf
Citations