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Evolutionary Design of Objects Using Scene Graphs

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2610))

Abstract

One of the main issues in evolutionary design is how to create three-dimensional shape. The representation needs to be general enough such that all possible shapes can be created, yet it has to be evolvable. That is, parent and offspring must be related. Small changes to the genotype should lead to small changes of the fitness of an individual. We have explored the use of scene graphs to evolve three-dimensional shapes. Two different scene graph representations are analyzed, the scene graph representation used by OpenInventor and the scene graph representation used by VRML. Both representations use internal floating point variables to specify three-dimensional vectors, rotation axes and rotation angles. The internal parameters are initially chosen at random, then remain fixed during the run. We also experimented with an evolution strategy to adapt the internal variables. Experimental results are presented for the evolution of a wind turbine. The VRML representation produced better results.

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References

  1. A. L. Ames, D. R. Nadeau, and J. L. Moreland. VRML 2.0 Sourcebook. John Wiley & Sons, Inc., NY, 2nd edition, 1997.

    Google Scholar 

  2. American Wind Energy Association. The most frequently asked questions about wind energy, 2002.

    Google Scholar 

  3. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone. Genetic Programming-An Introduction: On The Automatic Evolution of Computer Programs and Its Applications. Morgan Kaufmann Publishers, San Francisco, CA, 1998.

    MATH  Google Scholar 

  4. P. J. Bentley, ed. Evolutionary Design by Computers. Morgan Kaufmann Publishers, May 1999.

    Google Scholar 

  5. P. J. Bentley and D. W. Corne, eds. Creative Evolutionary Systems. Morgan Kaufmann Publishers, Jan. 2001.

    Google Scholar 

  6. P. J. Bentley. Generic Evolutionary Design of Solid Objects using a Genetic Algorithm. PhD thesis, Division of Computing and Control Systems, School of Engineering, The University of Huddersfield, 1996.

    Google Scholar 

  7. T. Broughton, A. Tan, and P. S. Coates. The use of genetic programming in exploring 3D design worlds. In R. Junge, ed., CAAD futures 1997. Proc. of the 7th Int. Conf. on Computer Aides Architectural Design Futures, Munich, Germany, 4-6 Aug., pp. 885–915, Dordrecht, 1997. Kluwer Academic Publishers.

    Google Scholar 

  8. P. Coates, T. Broughton, and H. Jackson. Exploring three-dimensional design worlds using Lindenmeyer systems and genetic programming. In P. J. Bentley, ed., Evolutionary Design by Computers, pp. 323–341. Morgan Kaufmann, 1999.

    Google Scholar 

  9. G. S. Hornby and J. B. Pollack. The advantages of generative grammatical encodings for physical design. In Proc. of the 2001 Congress on Evolutionary Computation, COEX, Seoul, Korea, pp. 600–607. IEEE Press, 2001.

    Google Scholar 

  10. J. R. Koza. Genetic Programming. On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge, MA, 1992.

    Google Scholar 

  11. J. R. Koza. Genetic Programming II. Automatic Discovery of Reusable Programs. The MIT Press, Cambridge, MA, 1994.

    Google Scholar 

  12. J. R. Koza, F. H. Bennett III, D. Andre, and M. A. Keane. Genetic Programming III. Darwinian Invention and Problem Solving. Morgan Kaufmann Publishers, 1999.

    Google Scholar 

  13. S. Kumar and P. Bentley. The ABCs of evolutionary design: Investigating the evolvability of embryogenies for morphogenesis. In GECCO-99 Late Breaking Papers, pp. 164–170, 1999.

    Google Scholar 

  14. I. Rechenberg. Evolutionsstrategie’ 94. frommann-holzboog, Stuttgart, 1994.

    Google Scholar 

  15. H.-P. Schwefel. Evolution and Optimum Seeking. John Wiley & Sons, NY, 1995.

    Google Scholar 

  16. R. Smith. Open Dynamics Engine v0.03 User Guide, Dec. 2001.

    Google Scholar 

  17. A. Watt. 3D Computer Graphics. Addison-Wesley, Harlow, England, 2000.

    Google Scholar 

  18. J. Wernecke. The Inventor Mentor: Programming Object-Oriented 3D Graphics with Open Inventor, Release 2. Addison-Wesley, Reading, MA, 1994.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Ebner, M. (2003). Evolutionary Design of Objects Using Scene Graphs. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R., Costa, E. (eds) Genetic Programming. EuroGP 2003. Lecture Notes in Computer Science, vol 2610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36599-0_5

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  • DOI: https://doi.org/10.1007/3-540-36599-0_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00971-9

  • Online ISBN: 978-3-540-36599-0

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