Comparative Study of Metaheuristics on Optimal Design of Gravity Retaining Wall

Alsamia, Shaymaa and Koch, Edina and Hamadi, Hanaa Shihab (2023) Comparative Study of Metaheuristics on Optimal Design of Gravity Retaining Wall. POLLACK PERIODICA : AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES, 18 (2). pp. 35-40. ISSN 1788-1994 (print); 1788-3911 (online)

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Abstract

Retaining walls are typical geotechnical engineering applications analyzed extensively in the literature. However, the optimal design of these walls is still unsolved due to the optimization problem's complexity and the unrecognized best solver that can be used. Most similar works present a single optimizer for this problem. This work used six metaheuristics to formulate and solve the optimal gravity retaining wall problem design. The comparative study was achieved among particle swarm optimization, grey wolf optimizer, artificial bee colony, dynamic differential annealed optimization, fertilization optimization algorithm, and whale optimization algorithm. The problem and its results were discussed in detail within the respective sections.

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