Akademik Veri Yönetim Sistemi
Metaheuristics-Based Materials Optimization: Enhancing Materials Applications, Elsevier, ss.61-102, 2025
In the design of reinforced concrete structures, several constraints that are defined in design codes are considered. These constraints may be related to stress limits, serviceability or demands according to the usage of structures. The main idea for the optimization of structural members is to minimize the amount of materials used in the design. The best amount of materials can be found for different objectives such as cost or ecological factors like CO2 emission to protect resources and remain sustainability considerations. Due to highly constrained problems in the optimum design of RC members, metaheuristics have been frequently employed for different members of structures. These metaheuristics have different properties like phase number and equations in the algorithm, which influence to attainment of the result in the different iteration numbers alongside different times. In this chapter, the existing studies are reviewed for cost, weight and CO2 emission minimization; furthermore, some of the studies conducted with different metaheuristics in the same problem show the effectiveness of the metaheuristic algorithms. Several applications of problems are presented in detail, and it contributes to understanding how intensely metaheuristics have been used in studies.