  This paper develops a Blue-Green Infrastructure (BGI) performance evaluation
approach by integrating a Non-dominated Sorting Genetic Algorithm II (NSGA-II)
with a detailed hydrodynamic model. The proposed Cost OptimisatioN Framework
for Implementing blue-Green infrastructURE (CONFIGURE), with a simplified
problem-framing process and efficient genetic operations, can be connected to
any flood simulation model. In this study, CONFIGURE is integrated with the
CityCAT hydrodynamic model to optimise the locations and combinations of
permeable surfaces. Permeable zones with four different levels of spatial
discretisation are designed to evaluate their efficiency for 100-year and
30-year return period rainstorms. Overall, the framework performs effectively
for the given scenarios. The application of the detailed hydrodynamic model
explicitly captures the functioning of permeable features to provide the
optimal locations for their deployment. Moreover, the size and the location of
the permeable surfaces and the intensity of the rainstorm events are the
critical performance parameters for economical BGI deployment.
