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拟牛顿布谷鸟混合算法

宋庆庆 贺兴时 郭旭

计算机与数字工程2019,Vol.47Issue(3):516-519,4.
计算机与数字工程2019,Vol.47Issue(3):516-519,4.DOI:10.3969/j.issn.1672-9722.2019.03.006

拟牛顿布谷鸟混合算法

Quasi-Newton Cuckoo Hybrid Algorithm

宋庆庆 1贺兴时 1郭旭1

作者信息

  • 1. 西安工程大学理学院 西安 710048
  • 折叠

摘要

Abstract

In this paper,combined with the quasi-Newton algorithm and the combination of cuckoo,a hybrid algorithm is es?tablished. Firstly,the algorithm is used to optimize the cuckoo algorithm,and the best point of the contemporary is taken as the ini?tial point of the quasi-Newton method,and then the quasi-Newton method is used to optimize it twice. The hybrid algorithm plays a role in the global search of the cuckoo optimization algorithm and the local strong search performance of the quasi-Newton method. It also overcomes the cuckoo algorithm and Quasi-Newton's shortcomings. The results of eight test functions show that the hybrid al?gorithm has a high accuracy.

关键词

布谷鸟算法/拟牛顿算法/梯度/T检验

Key words

cuckoo algorithm/quasi-Newton algorithm/gradient/T test

分类

信息技术与安全科学

引用本文复制引用

宋庆庆,贺兴时,郭旭..拟牛顿布谷鸟混合算法[J].计算机与数字工程,2019,47(3):516-519,4.

基金项目

西安市教育科技重大招标项目(编号:2015ZB-ZY04) (编号:2015ZB-ZY04)

陕西省软科学研究计划项目(编号:2014KRM2801)资助. (编号:2014KRM2801)

计算机与数字工程

OACSTPCD

1672-9722

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