Chaotic Cuckoo Search Algorithm for Highdimensional Functions

Aijia Ouyang1 2; Guo Pan2 3; Guangxue Yue2 4; Jiayi Du2 4

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Chaotic Cuckoo Search Algorithm for Highdimensional Functions

机译：Chaotic Cuckoo搜索高维功能的算法

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—Given that the basic cuckoo search algorithm is vulnerable to local optimum and unsatisfactory calculation precision, chaotic operator (CO), employed as local algorism to optimize elitist individuals in the population, can effectively enhance the properties of cuckoo search (CS) algorithm. Tested by 15 benchmark high-dimensional functions, the experiment result indicates that chaotic cuckoo search (CCS) algorithm can increase the calculation precision and step up the convergent speed with improved robustness, which can be applied to other engineering optimization problems.

机译：- 导致基本的Cuckoo搜索算法容易受到局部最佳和不令人满意的计算精度，作为当地算法的混沌操作员（CO），以优化人群中的精英个体，可以有效提高Cuckoo搜索（CS）算法的性质。由15个基准高维功能进行测试，实验结果表明混沌CUCKOO搜索（CCS）算法可以提高计算精度并加强随着鲁棒性的改进的稳健性，这可以应用于其他工程优化问题。

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《Journal of Computers》 |2014年第5期|共9页
作者
Aijia Ouyang1 2; Guo Pan2 3; Guangxue Yue2 4; Jiayi Du2 4;
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Chaotic Cuckoo Search Algorithm for Highdimensional Functions

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