UDC 005.922.52:004.932, DOI: 10.2298/CSIS1001111L

Generative 3D Images in a visual evolutionary computing system

Hong Liu1

  1. School of Information Science and Engineering, Shandong Normal University
    Jinan, P. R. China
    lhsdcn@jn-public.sd.cninfo.net

Abstract

This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genetic algorithm first. Then a binary tree based genetic algorithm is presented. This approach is illustrated by a 3D image generative example, which uses complex function expressions as chromosomes to form a binary tree, and all genetic operations are performed on the binary tree. Corresponding complex functions are processed by MATLAB software to form 3D images of artistic flowers. This generative design is integrated with a visualization interface, which allows designers to interact and select from instances for design evolution. It shows the system is able to enhance the possibility of discovering various potential design solutions.

Key words

Evolutionary computation, computer-aided design, generative design, complex function

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS1001111L

Publication information

Volume 7, Issue 1 (February 2010)
Advances in Computer Animation and Digital Entertainment
Year of Publication: 2010
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Liu, H.: Generative 3D Images in a visual evolutionary computing system. Computer Science and Information Systems, Vol. 7, No. 1. (2010), https://doi.org/10.2298/CSIS1001111L