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A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

Mashayekhi, M. R. / Mosayyebi, S.

In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used to design castellated beams. The total cost, including material and construction costs, is taken as the objective function, and the code requirements and geometry limitations have been considered in constraint functions. The proposed method is used to obtain the optimal solution of three examples. The solution is then compared with the results of five known methods. It is observed that the proposed algorithm achieves better results with a higher convergence speed as compared to the considered methods.

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A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

Mashayekhi, M. R. / Mosayyebi, S.

In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used to design castellated beams. The total cost, including material and construction costs, is taken as the objective function, and the code requirements and geometry limitations have been considered in constraint functions. The proposed method is used to obtain the optimal solution of three examples. The solution is then compared with the results of five known methods. It is observed that the proposed algorithm achieves better results with a higher convergence speed as compared to the considered methods.

A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

Mashayekhi, M. R. / Mosayyebi, S.

In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used to design castellated beams. The total cost, including material and construction costs, is taken as the objective function, and the code requirements and geometry limitations have been considered in constraint functions. The proposed method is used to obtain the optimal solution of three examples. The solution is then compared with the results of five known methods. It is observed that the proposed algorithm achieves better results with a higher convergence speed as compared to the considered methods.

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Title:

A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

Additional title:

Asian J Civ Eng

Contributors:

Mashayekhi, M. R. (author) / Mosayyebi, S. (author)

Published in:

Asian Journal of Civil Engineering ; 24 ; 2121-2139

Publication date:

2023-11-01

Size:

19 pages

ISSN:

2522-011X , 1563-0854

DOI:

https://doi.org/10.1007/s42107-023-00630-4

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Harris Hawks Optimization (HHO) , Particle Swarm Optimization (PSO) , Optimum design , Castellated beam , Hexagonal opening beam Engineering , Civil Engineering , Building Materials , Sustainable Architecture/Green Buildings

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