Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

An Improvement of AFSA in Global Search with Scout Swarms

Authors
Tian Guo, He ji Zhao
Corresponding Author
Tian Guo
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.140How to use a DOI?
Keywords
AFSI (Artificial Fish Swarm Intelligence), Scout-AFSA, Global Search.
Abstract
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.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.140How to use a DOI?
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
PB  - Atlantis Press
SP  - 582
EP  - 586
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  -