Land use optimisation

Project Level: Honours, Masters, PhD

Integer Programming models have been use to optimise land use, especially where land must be reserved for conservation value, carbon capture or habitat for helpful species such as bees.  However, the existing models have significant limitations, especially with regard to how they handle aggregation of the reserved land and estimation of objective value components.  This project will investigate the use of modern techniques, including but not limited to Logic Based Benders Decomposition and a priori column generation, in order to provide better solutions.  This project may involve collaboration with the School of the Environment.