Alan R. Sibbald

Learn More
This paper explores the application of multi-objective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an underlying structure of: fitness assignment using Pareto-dominance ranking, niche induction and an individual replacement strategy. They are differentiated by their representations: a(More)
This paper explores the potential of applying Genetic Algorithms to land use planning, a spatial allocation problem. Two genotype representations are proposed: a fixed-length genotype composed of genes that map directly to a land parcel's use, and a variable-length, order-dependent representation making allocations indirectly via a greedy algorithm. The(More)
  • 1