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03.02.2021 | Original Article

An efficient hybrid approach based on Harris Hawks optimization and imperialist competitive algorithm for structural optimization

verfasst von: A. Kaveh, P. Rahmani, A. Dadras Eslamlou

Erschienen in: Engineering with Computers | Sonderheft 2/2022

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Abstract

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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Titel: An efficient hybrid approach based on Harris Hawks optimization and imperialist competitive algorithm for structural optimization
verfasst von: A. Kaveh
P. Rahmani
A. Dadras Eslamlou
Publikationsdatum: 03.02.2021
Verlag: Springer London
Erschienen in: Engineering with Computers / Ausgabe Sonderheft 2/2022
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI: https://doi.org/10.1007/s00366-020-01258-7

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