The Community for Technology Leaders
Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 59-63
ABSTRACT
This paper proposes an improved algorithm to optimize the fitness function, with which the iteration times can be efficiently reduced in simulating fabric pattern deformation when it flags in the wind. Relying on a genetic algorithm model used to its deformation, an iteration method is employed and performed when genes are substituted with positions and color values of each point on the fabric surface. Relations are found during optimization between variables of the fitness function and the fabric attributes. The optimization is performed and improved to enhance the simulation. The result occurs in effectively reducing the iteration times while the actual visual effect is still satisfactory
INDEX TERMS
CITATION
Beibei Li, Zhihong Zhao, "Fitness Function Optimized in Genetic Algorithm for Fabric Dynamic Simulation", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 59-63, 2008, doi:10.1109/PACIIA.2008.181
102 ms
(Ver 3.3 (11022016))