| 采用人工蜂群算法求解多维函数极值 |
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| 引用本文： | 蒋正金,吕干云,端木春江.采用人工蜂群算法求解多维函数极值[J].电子技术,2012,39(1):9-11,8. |
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| 作者姓名： | 蒋正金 吕干云 端木春江 |
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| 作者单位： | 浙江师范大学数理与信息工程学院 浙江金华 |
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| 摘 要： | 文章首先介绍了人工蜂群算法,然后提出了一种采用人工蜂群算法求解多维函数极值的新方法,最后编写出MATLAB程序并选取四个标准测试函数进行实验仿真。通过将实验仿真结果与粒子群算法求解结果和理论最优值进行比较分析,证明了该方法可行,而且具有耗时短,收敛快等优点。
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| 关 键 词： | 人工蜂群算法 粒子群算法 标准测试函数 多维函数 MATLAB |
Solving the Global Minimum of Some Kinds of Multi-dimensions Function Using Artificial Bee Colony Algorithm |
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| Jiang Zhengjin
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Lu Ganyun
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Duanmu Chunjiang.Solving the Global Minimum of Some Kinds of Multi-dimensions Function Using Artificial Bee Colony Algorithm[J].Electronic Technology,2012,39(1):9-11,8. |
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| Authors: | Jiang Zhengjin Lu Ganyun Duanmu Chunjiang |
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| Affiliation: | Jiang Zhengjin Lu Ganyun Duanmu Chunjiang(College of Mathematics Physics and Information Engineering,Zhejiang Normal University,Jinhua,Zhejiang) |
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| Abstract: | This paper firstly introduces the artificial bee colony algorithm,then puts forward a new method of using artificial bee colony algorithm to search global minimum of some kinds of multi-dimensions function,finally compiles MATLAB program and selects four standard benchmarks test functions to do experiments and simulations.The simulation results by using artificial bee colony algorithm are compared with the simulation results by particle swarm algorithm and theoretical optimum value.The comparison and analysis proves that the method is feasible,and features short time-consumption and fast convergence,etc. |
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| Keywords: | artificial bee colony algorithm particle swarm algorithm standard benchmarks test functions multi-dimensions function MATLAB |
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