Applying Genetic Algorithms to multi-objective land use planning

摘要: 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 individual replacement strategy. They differentiated by their representations: fixed-length genotype composed genes that map directly parcel's variable-length, order-dependent representation making allocations indirectly via greedy algorithm. The latter requires additional breeding operators be defined post-processing identify remove duplicate genotypes. two compared on real planning problem strengths weaknesses framework each identified.