Optimal subdivision of land in agrarian reform projects: an analysis using genetic algorithms

• Autor(a) principal: Ferreira Neto, José Ambrósio
• Data de Publicação: 2011
• Outros Autores: Santos Junior, Edgard Carneiro dos, Paleo, Urbano Fra, Barros, David Miranda, Moreira, Mayron César de Oliveira
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/41678
• topic: Agrarian reform; Genetic algorithm; Rural settlement; Spatial planning; Algoritmos genéticos; Asentamientos rurales; Ordenamiento territorial; Reforma agraria

The objective of this manuscript is to develop a new procedure to achieve optimal land subdivision using genetic algorithms (GA). The genetic algorithm was tested in the rural settlement of Veredas, located in Minas Gerais, Brazil. This implementation was based on the land aptitude and its productivity index. The sequence of tests in the study was carried out in two areas with eight different agricultural aptitude classes, including one area of 391.88 ha subdivided into 12 lots and another of 404.1763 ha subdivided into 14 lots. The effectiveness of the method was measured using the shunting line standard value of a parceled area lot's productivity index. To evaluate each parameter, a sequence of 15 calculations was performed to record the best individual fitness average (MMI) found for each parameter variation. The best parameter combination found in testing and used to generate the new parceling with the GA was the following: 320 as the generation number, a population of 40 individuals, 0.8 mutation tax, and a 0.3 renewal tax. The solution generated rather homogeneous lots in terms of productive capacity.