摘要
论文将拟牛顿算法和布谷鸟算结合,建立了一种混合的算法。算法首先利用布谷鸟算法进行寻优,把当代最好解作为拟牛顿法的初始点,再利用拟牛顿法对其进行优化。混合算法发挥了布谷鸟算法的全局搜索性和拟牛顿法的局部强搜索性能,同时也弥补了布谷鸟算法后期搜索效率低和拟牛顿法对初始点敏感的不足。8个测试函数结果表明,混合算法具有很高的求解精度。
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.
作者
宋庆庆
贺兴时
郭旭
SONG Qingqing;HE Xingshi;GUO Xu(School of Science,Xi'an Polytechnic University,Xi'an 710048)
出处
《计算机与数字工程》
2019年第3期516-519,共4页
Computer & Digital Engineering
基金
西安市教育科技重大招标项目(编号:2015ZB-ZY04)
陕西省软科学研究计划项目(编号:2014KRM2801)资助
关键词
布谷鸟算法
拟牛顿算法
梯度
T检验
cuckoo algorithm
quasi-Newton algorithm
gradient
T test
