中南民族大学学报（自然科学版）2018，Vol.37Issue(1)：132-137,158,7.
双核因素蝙蝠算法
Double Core Factors Bat Algorithm
摘要
Abstract
In this paper,a new bionic optimization algorithm which termed double core factors bat algorithm(DCFBA) based on the bat algorithm was proposed. A new velocity updating formula was proposed in our algorithm to improve the optimization efficiency. Aimed at showing the advantages of our new algorithm, 9 benchmark problems were performed by the classical bat algorithm,the particle swarm optimization and DCFBA respectively.Experimental results show that DCFBA is better than the classical bat algorithm and the particle swarm optimization in effectiveness,superiority and stability.关键词
蝙蝠算法/优化算法/双核因素蝙蝠算法/速度更新公式Key words
bat algorithm/optimization algorithm/double core factors bat algorithm/velocity updating formula分类
信息技术与安全科学引用本文复制引用
肖海军,成金华,何凡..双核因素蝙蝠算法[J].中南民族大学学报（自然科学版）,2018,37(1):132-137,158,7.基金项目
国家自然科学基金资助项目(11301492) （11301492）
