  A method to minimize the cost of the structural design of reinforced concrete
structures using Biogeography-Based Optimization, an evolutionary algorithm, is
presented. SAP2000 is used as computational engine, taking into account
modelling aspects such as static soil-structure interaction (SSSI). The
optimization problem is formulated to properly reflect an actual design
problem, limiting e.g. the size of reinforcement bars to commercially available
sections. Strategies to reduce the computational cost of the optimization
procedure are proposed and an extensive parameter tuning was performed. The
resulting tuned optimization algorithm allows to reduce the direct cost of the
construction of a particular structure project with 21% compared to a design
based on traditional criteria. We also evaluate the effect on the cost of the
superstructure when SSSI is takeninto account.
