An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently *
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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Springer
2016-01-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868681/view |
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author | Wu Lei Xiao Wensheng Zhang Liang Liu Qi Wang Jingli |
author_facet | Wu Lei Xiao Wensheng Zhang Liang Liu Qi Wang Jingli |
author_sort | Wu Lei |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-6eabb21254ee40b8b6621d140c0e3a26 |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-04-14T05:31:57Z |
publishDate | 2016-01-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-6eabb21254ee40b8b6621d140c0e3a262022-12-22T02:09:46ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832016-01-019110.1080/18756891.2016.1144155An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently *Wu LeiXiao WenshengZhang LiangLiu QiWang JingliAs 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.https://www.atlantis-press.com/article/25868681/viewfruit fly optimization algorithmintelligent selectionthe best search directionbenchmark functionsexperimental simulation |
spellingShingle | Wu Lei Xiao Wensheng Zhang Liang Liu Qi Wang Jingli An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * International Journal of Computational Intelligence Systems fruit fly optimization algorithm intelligent selection the best search direction benchmark functions experimental simulation |
title | An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * |
title_full | An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * |
title_fullStr | An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * |
title_full_unstemmed | An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * |
title_short | An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently * |
title_sort | improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently |
topic | fruit fly optimization algorithm intelligent selection the best search direction benchmark functions experimental simulation |
url | https://www.atlantis-press.com/article/25868681/view |
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