An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently *

DOI

10.1080/18756891.2016.1144155How to use a DOI?

Keywords

fruit fly optimization algorithm; intelligent selection; the best search direction; benchmark functions; experimental simulation

Abstract

As a novel global optimization algorithm, the fruit fly optimization algorithm FOA has been successfully applied in a variety of mathematic and engineering fields. For the purpose of accelerating the convergence speed and overcoming the shortcomings of FOA, an improved fruit fly optimization called SEDI-FOA was proposed in this paper. In the proposed SEDI-FOA, more fruit flies would fly in the search direction that was best for finding the optimal solution, or at least in a direction close to the optimal direction. Experiments were conducted on a set of 12 benchmark functions, and the results showed that SEDI-FOA performed better than other several improved FOA and frequently-used intelligence algorithms, especially in the areas of accelerating convergence and global search ability and efficiency.

Copyright

© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Wu Lei
AU  - Xiao Wensheng
AU  - Zhang Liang
AU  - Liu Qi
AU  - Wang Jingli
PY  - 2016
DA  - 2016/01/01
TI  - An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently *
JO  - International Journal of Computational Intelligence Systems
SP  - 80
EP  - 90
VL  - 9
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1144155
DO  - 10.1080/18756891.2016.1144155
ID  - Lei2016
ER  -