纺织高校基础科学学报Issue(4)：515-521,7.DOI:10.13338/j.issn.1006-8341.2015.04.023
基于模拟退火与高斯扰动的布谷鸟算法
A cuckoo search algorithm based on simulated annealing and Gaussian disturbance
摘要
Abstract
Cuckoo algorithm is a new algorithm for global optimization .In order to improve the convergence speed and computational accuracy of cuckoo search algorithm ,a new algorithm w hich introduce the simulated annealing idea to cuckoo search algorithm and Gaussian disturb‐ance to the individuals is proposed .Simulation results show that the new algorithm can search for global optimization more quickly and precisely than cuckoo search algorithm and Gaussian disturbance based cuckoo search algorithm .关键词
布谷鸟算法/模拟退火/高斯扰动/仿真Key words
cuckoo search algorithm/simulated annealing/Gaussian disturbance/simulation分类
信息技术与安全科学引用本文复制引用
张毅,贺兴时,杨新社..基于模拟退火与高斯扰动的布谷鸟算法[J].纺织高校基础科学学报,2015,(4):515-521,7.基金项目
陕西省自然科学基础研究计划项目（2014JM1006）；陕西省教育厅专项科研计划项目（14JK1282）；西安工程大学研究生创新基金资助项目 （）
