田口方法
布谷鸟搜索
正交数组
算法
同种类的
布谷鸟
计算机科学
利用
数学优化
工程类
数学
机器学习
粒子群优化
组合数学
动物
生物
计算机安全
作者
Zhisheng Wang,Jeng‐Shyang Pan,Kuan-Chun Huang,Tien-Szu Pan,Jian-Po Li
出处
期刊:Smart innovation, systems and technologies
日期:2022-01-01
卷期号:: 219-228
被引量:2
标识
DOI:10.1007/978-981-19-1053-1_20
摘要
A novel method was proposed which combines gray wolf optimizer (GWO) and cuckoo search algorithm (CS) based on the Taguchi theory in this paper. Generally speaking, the traditional GWO has a powerful ability to exploit locally and the traditional CS has a powerful ability to explore globally in the solution space. With the advantages of these two algorithms, a hybrid algorithm (GWO-CS) combined by the orthogonal array in Taguchi theory was developed. The Taguchi theory and its key method, orthogonal arrays, are widely used in the industrial field to improve the robustness of product design. The test results of the proposed algorithm (GWO-CS) with CEC2017 indicated its effectiveness compared with traditional and other homogeneous algorithms.
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