Multiobjective optimal design of reinforced concrete frames using two metaheuristic algorithms

Genetic algorithm (GA) and differential evolution (DE) are metaheuristic algorithms that have shown a favorable performance in the optimization of complex problems. In recent years, only GA has been widely used for single-objective optimal design reinforced concrete (RC) structures; however, it applied multiobjective steel structures. this article, total structural cost roof displacement considered as objective functions RC frames. Using weighted sum method (WSM) approach, two-objective problem is converted to problem. The size beams columns variables, requirements ACI-318 employed constraints. Five numerical models studied test efficiency DE algorithms. Pareto front curves obtained building using both detailed results show accuracy convergence speed