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...

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Main Authors: Wu Lei, Xiao Wensheng, Zhang Liang, Liu Qi, Wang Jingli
Format: Article
Language:English
Published: Springer 2016-01-01
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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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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