A Novel Hybrid Particle Swarm Optimization and Sine Cosine Algorithm for Seismic Optimization of Retaining Structures
Authors
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Mohammad Khajehzadeh
AffiliationDepartment of Civil Engineering, Anar Branch, Islamic Azad University, 7741943615, Anar, Iran
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Alireza Sobhani
Affiliation
Department of Petroleum Engineering, Tehran Science and Research Branch, Islamic Azad University, 1477893855, Tehran, Iran
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Seyed Mehdi Seyed Alizadeh
Affiliation
Petroleum Engineering Department, Australian College of Kuwait, 40005, West Mishref, Kuwait
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Mahdiyeh Eslami
Affiliation
Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Abstract
This study introduces an effective hybrid optimization algorithm, namely Particle Swarm Sine Cosine Algorithm (PSSCA) for numerical function optimization and automating optimum design of retaining structures under seismic loads. The new algorithm employs the dynamic behavior of sine and cosine functions in the velocity updating operation of particle swarm optimization (PSO) to achieve faster convergence and better accuracy of final solution without getting trapped in local minima. The proposed algorithm is tested over a set of 16 benchmark functions and the results are compared with other well-known algorithms in the field of optimization. For seismic optimization of retaining structure, Mononobe-Okabe method is employed for dynamic loading condition and total construction cost of the structure is considered as the objective function. Finally, optimization of two retaining structures under static and seismic loading are considered from the literature. As results demonstrate, the PSSCA is superior and it could generate better optimal solutions compared with other competitive algorithms.
