期刊
ENGINEERING WITH COMPUTERS
卷 38, 期 SUPPL 2, 页码 1555-1583出版社
SPRINGER
DOI: 10.1007/s00366-020-01258-7
关键词
Hybrid algorithm; Harris Hawks optimization; Imperialist competitive algorithm; Benchmark functions; Truss structures
This paper introduces a new hybrid algorithm ICHHO, combining HHO and ICA, which successfully improves the search strategy and demonstrates competitive performance through comparisons with other techniques and problems.
In this paper, a new hybrid algorithm is introduced, combining two Harris Hawks Optimizer (HHO) and the Imperialist Competitive Algorithm (ICA) to achieve a better search strategy. HHO is a new population-based, nature-inspired optimization algorithm that mimics Harris Hawks cooperative behavior and chasing style in nature called surprise pounce HHO. It is a robust algorithm in exploitation, but has an unfavorable performance in exploring the search space, while ICA has a better performance in exploration; thus, combining these two algorithms produces an effective hybrid algorithm. The hybrid algorithm is called Imperialist Competitive Harris Hawks Optimization (ICHHO). The proposed hybrid algorithm's effectiveness is examined by comparing other nature-inspired techniques, 23 mathematical benchmark problems, and several well-known structural engineering problems. The results successfully indicate the proposed hybrid algorithm's competitive performance compared to HHO, ICA, and some other well-established algorithms.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据