| 基于混沌序列的布谷鸟算法改进 |
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| 引用本文： | 宋庆庆,贺兴时,郭旭.基于混沌序列的布谷鸟算法改进[J].纺织高校基础科学学报,2017,30(3). |
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| 作者姓名： | 宋庆庆 贺兴时 郭旭 |
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| 作者单位： | 西安工程大学理学院,陕西西安,710048 |
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| 基金项目： | 陕西省软科学研究计划项目，西安市教育科技重大招标项目 |
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| 摘 要： | 针对布谷鸟算法(CS)局部搜索能力差,后期收敛速度慢,收敛精度不高等问题,将混沌序列引入到布谷鸟算法中优化鸟窝初始位置,建立基于混沌序列的布谷鸟算法(BCS).选取6个基准函数进行测试,并将测试结果与布谷鸟算法进行对比,仿真结果表明BCS的收敛速度,收敛精度等性能都优于标准CS.
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| 关 键 词： | 布谷鸟算法 Lévy飞行 混沌序列 收敛性能 |
An improvement of cuckoo search algorithm based on chaotic sequence |
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| SONG Qingqing,HE Xingshi,GUO Xu.An improvement of cuckoo search algorithm based on chaotic sequence[J].Basic Sciences Journal of Textile Universities,2017,30(3). |
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| Authors: | SONG Qingqing HE Xingshi GUO Xu |
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| Abstract: | Inview of the disadvantages of cuckoo search algorithm(CS) such as poor local search ability,slow convergence speed and low convergence accuracy in the later period,the chaotic sequence is introduced into CS to optimize the initial position,and the cuckoo algorithm based on chaotic sequence (BCS) is established.Six benchmark functions are selected for tesing,and the tesing result is compared with CS,the simulation results show that the convergence speed,convergence accuracy and other performance of BCS are better than standard CS. |
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| Keywords: | cuckoo algorithm Lévy flight chaotic sequence convegence performance |
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