@Article{CorręaLoreRibe:2009:NoLiLa,
author = "Corr{\^e}a, Francisco de Assis and Lorena, Luiz Antonio Nogueira
and Ribeiro, Glaydston Mattos",
affiliation = "Paulista University (UNIP), S{\~a}o Jos{\'e} dos Campos – SP,
Brazil and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
Federal University of Esp{\'{\i}}rito Santo (UFES), S{\~a}o
Mateus – ES, Brazil",
title = "Novos limitantes lagrangeanos para o problema
probabil{\'{\i}}stico de
localiza{\c{c}}{\~a}o-aloca{\c{c}}{\~a}o de m{\'a}xima
cobertura utilizando grafos de cobertura /New lagrangean bounds
for the probabilistic Maximal Covering Location-Allocation Problem
using covering graphs",
journal = "Gest{\~a}o \& Produ{\c{c}}{\~a}o",
year = "2009",
volume = "16",
number = "2",
pages = "260--272",
month = "abr.-jun.",
keywords = "relaxa{\c{c}}{\~a}o lagrangeana, relaxa{\c{c}}{\~a}o
lagrangeana com clusters, problemas de localiza{\c{c}}{\~a}o,
m{\'a}xima cobertura, lagrangean relaxation, lagrangean
relaxation with clusters, location problems, maximal covering.",
abstract = "O Problema Probabil{\'{\i}}stico de
Localiza{\c{c}}{\~a}o-Aloca{\c{c}}{\~a}o de M{\'a}xima
Cobertura (PPLAMC) consiste em localizar facilidades, maximizando
a popula{\c{c}}{\~a}o atendida e fornecendo um bom
n{\'{\i}}vel de servi{\c{c}}o para toda a
popula{\c{c}}{\~a}o, ou seja, deve-se garantir que um
usu{\'a}rio, ao chegar a um centro, n{\~a}o espere mais que um
tempo m{\'a}ximo permitido ou n{\~a}o encontre uma fila de
atendimento com um n{\'u}mero de usu{\'a}rio maior que um valor
m{\'a}ximo. Estes dois par{\^a}metros dependem da taxa de
chegada dos usu{\'a}rios e do atendimento, ambos
probabil{\'{\i}}sticos. Devido {\`a}s dificuldades
intr{\'{\i}}nsecas do problema, neste artigo s{\~a}o discutidos
limitantes lagrangeanos para o PPLAMC obtidos com a
relaxa{\c{c}}{\~a}o lagrangeana com clusters (LagClus). Na sua
proposi{\c{c}}{\~a}o inicial, a LagClus utilizou um grafo de
conflitos, por{\'e}m neste artigo esta relaxa{\c{c}}{\~a}o foi
aplicada em um grafo especial denominado grafo de cobertura.
ABSTRACT: The Probabilistic Maximal Covering Location-Allocation
Problem (PMCLAP) aims to locate facilities maximizing the number
of people served and providing a good level of service. This means
that customers would not have to wait longer than the wait time
established or to wait in long lines. These parameters are
influenced by the number of the requests for service and service
time, both probabilistic. The PMCLAP is NP-Complete and in this
paper we study bounds with a Lagrangean Relaxation with Clusters
(LagClus). Instead of using a conflict graph to represent a
problem, in this paper another strategy for the use of LagClus
using a special graph called covering graph is proposed. This
approach provides interesting bounds.",
copyholder = "SID/SCD",
doi = "10.1590/S0104-530X2009000200009",
url = "http://dx.doi.org/10.1590/S0104-530X2009000200009",
issn = "0104-530X",
label = "lattes: 7195702087655314 2 Corr{\^e}aLoreRibe:2009:NoLiLa",
language = "pt",
targetfile = "v16n2a09.pdf",
urlaccessdate = "08 maio 2024"
}