The Improvement of Fruit Fly Optimization Algorithm
- 10.2991/iccia.2012.376How to use a DOI?
- fruit fly optimization algorithm, extremal optimization, local extremum
Optimization problems are always the hot issues in various research fields. The aim of this paper is to find the optimal value of the bivariable nonlinear function by means of the improved fruit fly optimization algorithm(G-FOA). Some better results are obtained. Compared with other algorithms, G-FOA is concise, can quickly find the global optimum with the high accuracy and without falling into local extremum. These advantages make the algorithm has good robustness and applicability.
- © 2013, 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 - Fuqiang Xu AU - Youtian Tao PY - 2014/05 DA - 2014/05 TI - The Improvement of Fruit Fly Optimization Algorithm BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1516 EP - 1520 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.376 DO - 10.2991/iccia.2012.376 ID - Xu2014/05 ER -