Ozturk, Hasan TahsinTurkeli, ErdemDurmus, Ahmet2025-02-242025-02-2420161598-81981598-818X2-s2.0-84973098772https://hdl.handle.net/20.500.14440/925The main purpose of this study is to perform optimum cost design of cut and cover RC shallow tunnels using Artificial bee colony and genetic algorithms. For this purpose, mathematical expressions of objective function, design variables and constraints for the design of cut and cover RC shallow tunnels were determined. By using these expressions, optimum cost design of the Trabzon Kalekapisi junction underpass tunnel was carried out by using the cited algorithms. The results obtained from the algorithms were compared with the results obtained from traditional design and remarkable saving from the cost of the tunnel was achieved.eninfo:eu-repo/semantics/closedAccessoptimizationshallow tunnelsgenetic algorithmartificial bee colony algorithmArticle4534Q143517WOS:000374769500001Q2