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2000
Springer

Applying Genetic Algorithms to Multi-Objective Land Use Planning

10 years 4 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective 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 fixedlength genotype composed of genes that map directly to a land parcel's use and a variablelength, order-dependent representation making allocations indirectly via a greedy algorithm. The latter representation requires additional breeding operators to be defined and post-processing of the genotype structure to identify and remove duplicate genotypes. The two mGAs are compared on a real land use planning problem and the strengths and weaknesses of the underlying framework and each representation are identified.
Keith B. Matthews, Susan Craw, Stewart Elder, Alan
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where GECCO
Authors Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, Iain MacKenzie
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