Title :
Cellular Genetic Algorithm for Supporting Creative Design of 3D Animation Modelings
Author :
Yang Xiao-Peng ; Liu Hong ; Yu Han-Chao
Author_Institution :
Shandong Provincial Key Lab. for Distrib. Comput. Software Novel Technol., Shandong Normal Univ., Jinan, China
Abstract :
In order to generate a variety of innovative 3D animation modelings automatically, an improved cellular genetic algorithm was proposed in this paper. ACIS rule expressions were used to scale the existing 3D animation modelings unevenly in the x-axis, y-axis and z-axis direction separately in this algorithm, and tree coding was adopted for the generation and evolution of ACIS rule expressions. Due to the difficulty that there was no uniform evaluation criteria determining the creative design, human-computer interaction was adopted which used expert knowledge to determine the fitness function value of individuals. An innovation system of 3D animation modelings is developed, and the experiments in the system show that the improved cellular genetic algorithm can generate a series of 3D animation creative modelings.
Keywords :
cellular automata; computer animation; genetic algorithms; human computer interaction; solid modelling; 3D animation modelings; ACIS rule expressions; cellular genetic algorithm; creative design; human-computer interaction; tree coding; Animation; Computational modeling; Encoding; Genetic algorithms; Performance analysis; Solid modeling; Three dimensional displays;
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0855-8
DOI :
10.1109/PACCS.2011.5990084