Journal
ENGINEERING WITH COMPUTERS
Volume 38, Issue SUPPL 2, Pages 1555-1583Publisher
SPRINGER
DOI: 10.1007/s00366-020-01258-7
Keywords
Hybrid algorithm; Harris Hawks optimization; Imperialist competitive algorithm; Benchmark functions; Truss structures
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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.
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