Decisions on how to manage future flood risks are frequently informed by both sophisticated and computationally expensive models. This complexity often limits the representation of uncertainties and the consideration of strategies. Here, we use an intermediate complexity model framework that enables us to analyze a rich set of strategies, objectives, and uncertainties. We find that allowing for more combinations of risk mitigation strategies can expand the solution set, help explain synergies and trade-offs, and point to strategies that can improve outcomes.