7th International Conference on Applied and Computational Mathematics (ICACM '18), Rome, İtalya, 23 - 25 Kasım 2018, ss.93-98
To build a structural member, all safety issues must be provided and the essential goal of engineering is to develop that design with the minimum cost. The optimization of reinforced concrete members contains non-linear design constraints and these constraints are developed according to the geotechnical and structural state limits in optimum design of retaining walls. The presented study proposes a detailed optimum design of reinforced concrete (RC) retaining walls employing grey wolf optimizer imitating the leadership hierarchy and hunting behavior of grey wolves. The detailed optimization considers the dimension and reinforcement design variables of stem, toe, heel and key parts of walls. The results of the proposed method were compared with other metaheuristic based methods and novel approach is competitive with the others in minimum objective function and reliability in finding optimum values.