An efficient hybrid approach based on Harris Hawks optimization and imperialist competitive algorithm for structural optimization
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...
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Published in | Engineering with computers Vol. 38; no. Suppl 2; pp. 1555 - 1583 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London
Springer London
01.06.2022
Springer Nature B.V |
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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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AbstractList | 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. |
Author | Kaveh, A. Rahmani, P. Eslamlou, A. Dadras |
Author_xml | – sequence: 1 givenname: A. orcidid: 0000-0002-5428-4788 surname: Kaveh fullname: Kaveh, A. email: alikaveh@iust.ac.ir organization: School of Civil Engineering, Iran University of Science and Technology – sequence: 2 givenname: P. surname: Rahmani fullname: Rahmani, P. organization: School of Civil Engineering, Iran University of Science and Technology – sequence: 3 givenname: A. Dadras surname: Eslamlou fullname: Eslamlou, A. Dadras organization: School of Civil Engineering, Iran University of Science and Technology |
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Keywords | Benchmark functions Harris Hawks optimization Imperialist competitive algorithm Hybrid algorithm Truss structures |
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Snippet | In this paper, a new hybrid algorithm is introduced, combining two Harris Hawks Optimizer (HHO) and the Imperialist Competitive Algorithm (ICA) to achieve a... |
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SubjectTerms | Bombings Business competition CAE) and Design Calculus of Variations and Optimal Control; Optimization Civil engineering Classical Mechanics Competition Computer Science Computer-Aided Engineering (CAD Control Evolution Evolutionary algorithms Foraging behavior Genetic algorithms Math. Applications in Chemistry Mathematical and Computational Engineering Optimization Original Article Population Robustness (mathematics) Search methods Structural engineering Systems Theory |
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Title | An efficient hybrid approach based on Harris Hawks optimization and imperialist competitive algorithm for structural optimization |
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