No description
-
April 20, 2018 (v1)PublicationUploaded on: December 1, 2022
-
April 17, 2017 (v1)Publication
Most location problems on networks consider discrete nodal demand. However, for many problems, demands are better represented by continuous functions along the edges, in addition to nodal demands. Several papers consider the optimal location problem of one or more facilities when demands are continuously distributed along the network, and the...
Uploaded on: December 5, 2022 -
October 28, 2019 (v1)Publication
In this paper we consider a set of origin-destination pairs in a mixed model in which a network embedded in the plane represents an alternative high-speed transportation system, and study a trip covering problem which consists on locating two points in the network which maximize the number of covered pairs, that is, the number of pairs which...
Uploaded on: March 27, 2023 -
October 28, 2019 (v1)Publication
In this paper we consider a trip covering location model in a mixed planar-network space. An embed- ded network in the plane represents an alternative transportation system in which traveling is fasterthan traveling within the plane. We assume that the demand to be covered is given by a set of origin- destination pairs in the plane, with some...
Uploaded on: March 27, 2023 -
October 24, 2019 (v1)PublicationCáceres Sansaloni, María Teresa López de los Mozos Martín, María Cruz Mesa López-Colmenar, Juan Antonio
Extensive facility location models on graphs deal with the location of a special type of subgraphs such as paths, trees or cycles and can be considered as extensions of classical point location models. Variance is one of the measures applied in models in which some equality requirement is imposed. In this paper the problem of locating a minimum...
Uploaded on: March 27, 2023 -
October 13, 2016 (v1)Publication
In this paper, the concept of the ordered weighted averaging operator is applied to define a model which unifies and generalizes several inequality measures. For a location x, the value of the new objective function is the ordered weighted average of the absolute deviations from the average distance from the facilities to the location x....
Uploaded on: December 5, 2022 -
October 28, 2019 (v1)Publication
This article deals with incorporating the mean absolute deviation objective function in several robust single facility location models on networks with dynamic evolution of node weights, which are modeled by means of linear functions of a parameter. Specifically, we have considered two robustness criteria applied to the mean absolute deviation...
Uploaded on: March 27, 2023