Year: 2023
Type: article
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.
Source: Pollack Periodica
Institutions: University of Kufa, Széchenyi István University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4366368358