Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
The VRML 2.0 sourcebook (2nd ed.)
The VRML 2.0 sourcebook (2nd ed.)
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Creative evolutionary systems
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
The Inventor Mentor: Programming Object-Oriented 3d Graphics with Open Inventor, Release 2
The Inventor Mentor: Programming Object-Oriented 3d Graphics with Open Inventor, Release 2
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
3d Computer Graphics
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Transcoding Aspects for Image Tele-Collaboration
Informatica
Direct and indirect representations for evolutionary design of objects
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
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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.