An Improvement of AFSA in Global Search with Scout Swarms
- Tian Guo, He ji Zhao
- Corresponding Author
- Tian Guo
Available Online August 2013.
- https://doi.org/10.2991/icacsei.2013.140How to use a DOI?
- AFSI (Artificial Fish Swarm Intelligence), Scout-AFSA, Global Search.
- Since the emergence of AFSA (Artificial Fish Swarm Algorithm), because of a lot of good features in solving complex optimization problems, AFSA has been studied by scholars from domestic and overseas, however it also has some shortcomings such as high time complexity, lack of balance between global search and local search. In recent years lots of researchers have attempted to improve this algorithm. In this paper, a new improvement will be introduced to solve its ability of balance between global search and local search, and its name is Scout-AFSA (Scout-Artificial Fish Swarm Algorithm). And the final experiment results show that Scout-AFSA does work better than AFSA in global search.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Tian Guo AU - He ji Zhao PY - 2013/08 DA - 2013/08 TI - An Improvement of AFSA in Global Search with Scout Swarms BT - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icacsei.2013.140 DO - https://doi.org/10.2991/icacsei.2013.140 ID - Guo2013/08 ER -