Capacitated P Median Problem
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. LOCATING PUBLIC SCHOOLS IN FAST EXPANDING AREAS: APPLICATION OF THE CAPACITATED p-MEDIAN AND MAXIMAL COVERING LOCATION MODELS
The area of Guaratiba, in Rio de Janeiro, presents extraordinary population growth rates that exceed all other districts of the city. Moreover, the public investments underway, in view of the 2106 Olympic Games, are making the region even more attractive. Therefore, it is appropriate to suggest proactive measures to avoid the predicted collapse of several pu
Pesqui. Oper.. Publicado em: 2014-08
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2. HIBRIDIZAÇÃO DE MÉTODOS EXATOS E HEURÍSTICOS PARA RESOLUÇÃO DE PROBLEMAS DE OTIMIZAÇÃO COMBINA / HYBRIDIZATION OF EXACT AND HEURISTIC METHODS TO SOLVE COMBINATORIAL OPTIMIZATION PROBLEM
A recente evolução dos computadores como também dos métodos exatos oriundos da programação matemática, muitos destes eficientemente implementados em otimizadores comerciais, propiciou o surgimento de novos algoritmos, denominados metaheurísticas híbridas, que têm sido aplicados para resolução de problemas combinatoriais. Este trabalho apresenta a
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 04/03/2011
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3. Uma meta-heurística híbrida com busca por agrupamentos aplicada a problemas de otimização combinatória
- This thesis presents a hybrid method, denominated Clustering Search (CS), that consists of detecting dynamically promising regions in the search space based on the frequence that are sampled in these regions the solutions originated from the metaheuristic. A iterative clustering process is executed in ensembling the metaheuristic, grouping the similar solu
Publicado em: 2009
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4. Heuristic location-allocation for facilities location problems / Heurística de localizacão-alocacão para problemas de localizacão de facilidades
New location-allocation heuristic (LAH) algorithms applied in facility location problems are presented in this thesis. Such algorithms approach is based on clustering and its main objective is to find out a facility (object) in a space by minimizing a function. The LAH developed throughout this work was employed in two problems: the first problem is the Maxi
Publicado em: 2002