 Biogeography based optimization, BBO, was used to tune parameters of a reinforced concrete frame structure, RCFS. This optimization technique was compared against other metaheuristic algorithms such as Genetic Algorithm, GA, Particle Swarm Optimization, PSO, and Differential Evolution, DE. BBO was able to achieve better results than GA, PSO, and DE in terms of direct cost savings in the case of predominantly cohesive soils and frictional soils. Additionally, BBO was able to reduce the number of iterations required to reach the optimum solution when compared to GA, PSO, and DE. This article was authored by Yvonne Antonio-Negren Diaz, Ernesto Luciano-Shigoya Mendez, and Alejandro Negren Montecillo.