The CAD of Group Animation based on Firefly Algorithm and Ant Colony Algorithm Fusion Algorithm
Authors
Shijie Xu, Shuming Jiang, Jianfeng Zhang, Zhiqiang Wei, Jian Li
Corresponding Author
Shijie Xu
Available Online August 2012.
- DOI
- 10.2991/iccasm.2012.210How to use a DOI?
- Keywords
- Firefly Algorithm (FA), Fusion Algorithm, Path Routing, Computer Animation, CAD
- Abstract
Firefly Algorithm (FA) is a new meta-heuristic evolutionary algorithm and it has fast calculation and excellent global search capability. Ant Colony Algorithm (ACA) has a positive feedback mechanism and distributed optimization method. Its solution has high accuracy. For characteristics of FA and ACA, the FA and ACA fusion algorithm has advantages of two algorithms to overcome their own disadvantages. In a typical function test, it shows good optimization performance and efficient time performance. And then FA and ACA fusion algorithm is applied to group animation path design to save the animation designer’s labor, and it provides a new design method for the computer animation production.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shijie Xu AU - Shuming Jiang AU - Jianfeng Zhang AU - Zhiqiang Wei AU - Jian Li PY - 2012/08 DA - 2012/08 TI - The CAD of Group Animation based on Firefly Algorithm and Ant Colony Algorithm Fusion Algorithm BT - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012) PB - Atlantis Press SP - 828 EP - 831 SN - 1951-6851 UR - https://doi.org/10.2991/iccasm.2012.210 DO - 10.2991/iccasm.2012.210 ID - Xu2012/08 ER -