A Genetic Programming Application in Virtual Reality (0) [7 citations — 0 self]
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author = {Sumit Das and Terry Franguiadakis and Michael E. Papka and Thomas A. Defanti and Daniel J. S},
title = {A Genetic Programming Application in Virtual Reality},
booktitle = {In Proceedings of the first IEEE Conference on Evolutionary Computation},
year = {},
pages = {480--484},
publisher = {IEEE Press}
}
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Abstract:
Genetic programming techniques have been applied to a variety of different problems. In this paper, the authors discuss the use of these techniques in a virtual environment. The use of genetic programming allows the authors a quick method of searching shape and sound spaces. The basic design of the system, problems encountered, and future plans are all discussed. 1 Introduction 1.1 Background Genetic algorithms have been used to solve a wide variety of problems, such as ones discussed in [8, 9, 10]. Used as an optimization technique, genetic algorithms have proven to be an effective way to search extremely large or complex solution spaces. Two such spaces are the vast domains of shape and sound. There exists an infinite variety of shapes, and sounds that can be associated with them. The search for pleasing combinations of the two cannot be carried out exhaustively, and aesthetic values cannot easily be parameterized. Since genetic algorithms do not rely on problem-specific knowledge,...
