The Improvement of Fruit Fly Optimization Algorithm

DOI

10.2991/iccia.2012.376How to use a DOI?

Keywords

fruit fly optimization algorithm, extremal optimization, local extremum

Abstract

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.

Copyright

© 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/).

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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  -