An Improved Fruit Fly Optimization Algorithm and Its Application

DOI

10.2991/ameii-15.2015.94How to use a DOI?

Keywords

fruit fly optimization algorithm; intelligent algorithm; SVM; analog circuit fault diagnosis

Abstract

Fruit fly optimization algorithm is a new swarm intelligent algorithm proposed in recent years and has been concerned for its few parameters and high computational efficiency. However, the application of the algorithm is limited for unstable optimization capability. To solve that question, an improved fruit fly optimization algorithm is proposed in this paper. Some factors affecting the performance of the algorithm are improved. The improved algorithm are proved by function optimization and applied to the analog circuit fault diagnosis.

Copyright

© 2015, 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  - HuiShu Shi
AU  - Ye San
AU  - Yi Zhu
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Fruit Fly Optimization Algorithm and Its Application
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 497
EP  - 502
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.94
DO  - 10.2991/ameii-15.2015.94
ID  - Shi2015/04
ER  -