Title :
Wildwood: the evolution of L-system plants for virtual environments
Author :
Mock, Kenrick J.
Author_Institution :
Archit. Lab., Intel Corp., Hillsboro, OR, USA
Abstract :
This paper describes the Wildwood project. In this work, a genetic algorithm was applied to a simplified L-system representation in order to generate artificial-life style plants for virtual worlds. Acting as a virtual gardener, a human selects which plants to breed, producing a unique new generation of plants. An experiment involving a simulation-style fitness function was also performed, and the virtual plants were adapted to maximize the fitness function
Keywords :
biology computing; botany; digital simulation; functional analysis; genetic algorithms; virtual reality; L-system representation; Wildwood project; artificial-life; genetic algorithm; plant evolution; simulation-style fitness function maximization; virtual environments; virtual gardener; virtual plant breeding; virtual worlds; Art; Avatars; Biological cells; Biological system modeling; Computational modeling; Computer graphics; Genetic algorithms; Humans; Organisms; Rendering (computer graphics);
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699854
