OPTIMIZATION OF REINFORCED CONCRETE STRUCTURES WITH GENETIC ALGORITHM

摘要

This paper investigates the potential of using genetic algorithms (GA) in optimization of reinforced concrete (RC) structures. The optimum cost design of three RC structures, a beam, a low-rise frame, and a high-rise single core wall building, using GAs with variable operators are presented. The results show that GAs help to efficiently locate a near optimal solution offering lower overall cost designs compared to traditional design methods.