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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, Optimization

摘要：In this paper, a mixture signal, which is composed of a periodical signal and an increasing level Direct Current (DC) signal, is used in this paper to amplify the diversity brought to the artificial agents in Evolved Bat Algorithm (EBA). In order to test the accuracy on finding the near best solutions, three test functions with known global optimum are used in the experiments. The experimental results indicate that our method improves the searching accuracy of EBA about 47.74 percent in average.

备注：20151203信息学院审核通过

论文类型：论文集

论文编号：7700

卷号：387

页面范围：21-28

ISSN号：2194-5357

是否译文：否

发表时间：2015-10-01