Generative 3D images in a visual evolutionary computing system | Zendy

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Generative 3D images in a visual evolutionary computing system

Author(s) -

Hong Liu

Publication year - 2010

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis1001111l

Subject(s) - computer science , generative design , generative grammar , genetic algorithm , tree (set theory) , visualization , matlab , artificial intelligence , binary tree , theoretical computer science , binary expression tree , function (biology) , binary number , software , computational creativity , machine learning , algorithm , programming language , creativity , mathematics , mathematical analysis , metric (unit) , operations management , arithmetic , evolutionary biology , economics , biology , political science , law

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.

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