2026-10-18T23:54:24Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/requestoai:ebyu-rdlopen.rawdatalibrary.net:ebyu/110422026-10-18T20:39:18Zopenairedrivercom_ebyu_10000col_ebyu_10001Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame StructureGrzywiński, MaksymDede, TayfunAtmaca, BarbarosAslay, Semi E.E., ŚwitońskiA., MężykS., KciukR., Szewczykframe structureJaya algorithmreinforced concretesize optimizationConstrained optimizationShape optimizationStructural designStructural framesDifferent sizesEasy fabricationHigh-strengthOptimal designOptimisationsReinforced concrete frame structuresSkeleton framesStructural optimizationReinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.Springer Science and Business Media Deutschland GmbH2025Conference Objecthttps://rdlopen.rawdatalibrary.net/r/ebyu/11042https://doi.org/10.1007/978-3-031-73161-7_7978-303173160-02367-3370enLecture Notes in Networks and Systemsinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/conferenceObjecthttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/11042