Kazemzadeh, SaeidKazemzadeh Azad,S.Akiş,E.Civil Engineering2024-07-052024-07-05202031300-345310.18400/TEKDERG.5094682-s2.0-85081613065https://doi.org/10.18400/TEKDERG.509468https://hdl.handle.net/20.500.14411/3988Mechanically stabilized earth walls are among the most commonly used soil-retaining structural systems in the construction industry. This study addresses the optimum design problem of mechanically stabilized earth walls using a recently developed metaheuristic optimization algorithm, namely adaptive dimensional search. For a cost efficient design, different types of steel reinforcement as well as reinforced backfill soil are treated as discrete design variables. The performance of the adaptive dimensional search algorithm is investigated through cost optimization instances of mechanically stabilized earth walls under realistic design criteria specified by standard design codes. The numerical results demonstrate the efficiency and robustness of the adaptive dimensional search algorithm in minimum cost design of mechanically stabilized earth walls and further highlight the usefulness of design optimization in engineering practice. © 2020 Turkish Chamber of Civil Engineers. All rights reserved.eninfo:eu-repo/semantics/openAccessAdaptive dimensional searchCost optimizationDiscrete variablesMechanically stabilized earth wallsMetaheuristicsOptimum designArticleQ43141016710188