点击次数：

所属单位：计算机科学与数学学院

发表刊物：Advances in Intelligent Systems and Computing

项目来源：其他课题

关键字：Evolved Bat Algorithm, Swarm Intelligence, Periodic Signal, Optimization

摘要：In this paper, the evolved bat algorithm is improved by replacing the fixed value, which is determined by the media, with the periodic signal. The familiar periodic signal exists in the natural environment is the sine/cosine signal. We take the co-sine signal in our design of improving the searching capacity of the evolved bat algorithm. Three test functions, of which the global optimum values are known, are used in the experiments. The experimental results indicate that our proposed strategy improves the searching accuracy of the evolved bat algorithm about 45.722% in average.

备注：20151203信息学院审核通过

论文类型：论文集

论文编号：7701

卷号：387

页面范围：3-9

ISSN号：2194-5357

是否译文：否

发表时间：2015-10-01