Affiliation:
1. Thinking Machines Corporation, 245 First Street, Cambridge, MA
Abstract
This paper describes how evolutionary techniques of variation and selection can be used to create complex simulated structures, textures, and motions for use in computer graphics and animation. Interactive selection, based on visual perception of procedurally generated results, allows the user to direct simulated evolutions in preferred directions. Several examples using these methods have been implemented and are described. 3D plant structures are grown using fixed sets of genetic parameters. Images, solid textures, and animations are created using mutating symbolic lisp expressions. Genotypes consisting of symbolic expressions are presented as an attempt to surpass the limitations of fixed-length genotypes with predefined expression rules. It is proposed that artificial evolution has potential as a powerful tool for achieving flexible complexity with a minimum of user input and knowledge of details.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,General Computer Science
Reference27 articles.
1. Aono M. and Kunii T. L. "Botanical Tree Image Generation " IEEE Computer Graphics and Applications Vol.4 No.5 May 1982. Aono M. and Kunii T. L. "Botanical Tree Image Generation " IEEE Computer Graphics and Applications Vol.4 No.5 May 1982.
2. Darwin Charles The Origin of Species New American Library Mentor paperback 1859. Darwin Charles The Origin of Species New American Library Mentor paperback 1859.
3. Dawkins Richard The Blind Watchmaker Harlow Logman 1986. Dawkins Richard The Blind Watchmaker Harlow Logman 1986.
4. Goldberg D. E. Genetic Algorithms in Search Optimization andMachine Learning 1989 Addison-Wesley Publishing Co. Goldberg D. E. Genetic Algorithms in Search Optimization andMachine Learning 1989 Addison-Wesley Publishing Co.
Cited by
384 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献