Lagrangean relaxation for the geographical partitioning problem

 

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Chi tiết về thư mục
Nhiều tác giả: Díaz García, Juan Antonio, Bernábe Loranca, María Beatríz, Luna Reyes, Dolores Edwiges, Olivares Benítez, Elías, Martínez Flores, José Luis
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2012
Miêu tả:Among methodologies used in territory clustering, stand location-allocation and set partitioning models, to group small geographic areas, usually called “basic units” into a given number of larger groups called “territories”. The territory clustering problem is modeled as a p-median problem. A Lagrangean relaxation is used to obtain lower bounds to the optimal solution of the problem and a procedure is used to obtain upper bounds. In order to evaluate the performance of the proposed procedure, instances of two Mexico cities are used. The results obtained with the proposed method are compared to partitioning methods from the literature. According to the obtained results for the considered instances using different number of groups, optimal or near optimal solution are obtained with a reasonable amount of computer effort.  
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/1332
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/matematica/article/view/1332
Từ khóa:partitioning
Lagrangean relaxation
heuristics
particionamiento
relajación Lagrangena
heurísticas