Interactive Evolution of Particle Systems for Computer Graphics and Animation

Interactive Evolutionary Computation (IEC) creates the intriguing possibility that a large variety of useful content can be produced quickly and easily for practical computer graphics and gaming applications. To show that IEC can produce such content, this paper applies IEC to particle system effect...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 13; no. 2; pp. 418 - 432
Main Authors:	Hastings, E.J., Guha, R.K., Stanley, K.O.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.04.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Animation Application software Applied sciences Artificial intelligence Artificial neural networks Atoms & subatomic particles Computer graphics Computer science; control theory; systems Computer systems and distributed systems. User interface Connectionism. Neural networks Evolutionary computation Exact sciences and technology IEC Interactive evolutionary computation (IEC) Learning and adaptive systems Learning theory Mathematical analysis Mathematical models Mathematical programming Neural networks neuroevolution of augmenting topologies (NEAT) particle systems Pattern recognition. Digital image processing. Computational geometry Power generation Programming Projectiles Software Space exploration Special effects Software maintenance Evolutionary algorithm Neural network Topology Computer animation Interactive evolutionary computation (IEC) Weapon Projectile Interactive system Video game Fires Computer graphics neuroevolution of augmenting topologies (NEAT) Graphic method particle systems Mathematical programming
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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