Quantum behaved fruit fly optimization algorithm for continuous function optimization problems - Details

Author：

Zhang, Xiangyin (Zhang, Xiangyin.) | Xia, Shuang (Xia, Shuang.)

Indexed by：

EI Scopus

Abstract：

In　this　paper,　we　study　the　fruit　fly　in　the　fruit　fly　optimization　algorithm　(FOA)　system　moving　in　a　quantum　multi-dimensional　space　and　propose　a　quantum　behaved　fruit　fly　optimization　algorithm　(QFOA)　for　the　continuous　function　optimization　problem.　Computational　experiments　and　comparisons　are　carried　out　based　on　a　set　of　benchmark　functions.　The　computational　results　show　the　advantage　of　QFOA　to　the　original　FOA.　©　Springer　Nature　Switzerland　AG　2019.

Keyword：

Functions Swarm intelligence Optimization Fruits

Author Community：

[ 1 ] [Zhang, Xiangyin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Zhang, Xiangyin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
[ 3 ] [Xia, Shuang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Xia, Shuang]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China

Reprint Author's Address：

[zhang, xiangyin]faculty of information technology, beijing university of technology, beijing; 100124, china;;[zhang, xiangyin]beijing key laboratory of computational intelligence and intelligent system, beijing; 100124, china

Email：

xy_zhang@bjut.edu.cn

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