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Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm / Nan Mi in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 12 (December 2015) . - pp 2174 - 2193 Titre : Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm Type de document : Article/Communication Auteurs : Nan Mi, Auteur ; Jingwei Hou, Auteur ; Wenbao Mi, Auteur ; Naiping Song, Auteur Année de publication : 2015 Article en page(s) : pp 2174 - 2193 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] algorithme génétique [Termes IGN] allocation [Termes IGN] développement durable [Termes IGN] écologie [Termes IGN] érosion [Termes IGN] optimisation par colonie de fourmis [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol Résumé : (Auteur) Limited development ecological zones (LDEZs) are often located in poverty-stricken, ecologically vulnerable areas where ethnic minorities reside. Studies on optimal spatial land-use allocation in LDEZs can promote economic and intensive land use, improve soil quality, facilitate local socioeconomic development, and maintain environmental stability. In this study, we optimized spatial land-use allocations in an LDEZ using the geographic information system (GIS) and a genetic ant colony algorithm (GACA). The multi-objective function considers economic benefits and ecological green equivalents, and improves soil erosion. We developed the GACA by integrating a genetic algorithm (GA) with an ant colony algorithm (ACA). This avoids a large number of redundant iterations and the low efficiency of the GA, and the slow convergence speed of the ACA. The study area is located in Pengyang County, Ningxia, China, which is a typical LDEZ. The land-use data were interpreted from remote sensing (RS) images and GIS. We determined the optimal spatial land-use allocations in the LDEZ using the GACA in the GIS environment. We compared the original and optimal spatial schemes in terms of economic benefits, ecological green equivalents, and soil erosion. The results of the GACA were superior to the original allocation, the ACA, and the multi-objective genetic algorithm, in terms of the optimum, time, and robust performance indexes. We also present some suggestions for the reasonable development and protection of LDEZs. Numéro de notice : A2015-622 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1070411 En ligne : https://doi.org/10.1080/13658816.2015.1070411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78091 [article]