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An efficient benders decomposition for the p-median problem
The p-median problem is a classic discrete location problem with numerous applications. It
aims to open p sites while minimizing the sum of the distances of each client to its nearest …
aims to open p sites while minimizing the sum of the distances of each client to its nearest …
An adaptive multiphase approach for large unconditional and conditional p-median problems
A multiphase approach that incorporates demand points aggregation, Variable
Neighbourhood Search (VNS) and an exact method is proposed for the solution of large …
Neighbourhood Search (VNS) and an exact method is proposed for the solution of large …
p-Median Problems
A Marín, M Pelegrín - Location science, 2019 - Springer
One of the basic problems in the field of discrete location is the p-median problem. In this
chapter we present and analyze several versions of the problem, but we can roughly define …
chapter we present and analyze several versions of the problem, but we can roughly define …
Formulation and solution of a two-stage capacitated facility location problem with multilevel capacities
In this paper, the multi-product facility location problem in a two-stage supply chain is
investigated. In this problem, the locations of depots (distribution centres) need to be …
investigated. In this problem, the locations of depots (distribution centres) need to be …
Hybrid meta-heuristics with VNS and exact methods: application to large unconditional and conditional vertex -centre problems
Large-scale unconditional and conditional vertex p p-centre problems are solved using two
meta-heuristics. One is based on a three-stage approach whereas the other relies on a …
meta-heuristics. One is based on a three-stage approach whereas the other relies on a …
On solving large p-median problems
Incorporating big data in urban planning has great potential for better modeling of urban
dynamics and more efficiently allocating limited resources. However, big data may present …
dynamics and more efficiently allocating limited resources. However, big data may present …
[PDF][PDF] Aggregation and non aggregation techniques for large facility location problems: a survey
A facility location problem is concerned with determining the location of some useful facilities
in such a way so to fulfil one or a few objective functions and constraints. We survey those …
in such a way so to fulfil one or a few objective functions and constraints. We survey those …
Discrete facility location in machine learning
IL Vasilyev, AV Ushakov - Journal of Applied and Industrial Mathematics, 2021 - Springer
Facility location problems form a broad class of optimization problems extremely popular in
combinatorial optimization and operations research. In every facility location problem, one …
combinatorial optimization and operations research. In every facility location problem, one …
A three‐stage p‐median based exact method for the optimal diversity management problem
The optimal diversity management problem (ODMP) arises in many application fields when
a company, producing a good and/or a service customizable with options, has to satisfy …
a company, producing a good and/or a service customizable with options, has to satisfy …
Scaling up group closeness maximization
E Bergamini, T Gonser, H Meyerhenke - 2018 Proceedings of the Twentieth …, 2018 - SIAM
Closeness is a widely-used centrality measure in social network analysis. For a node it
indicates the inverse average shortest-path distance to the other nodes of the network. While …
indicates the inverse average shortest-path distance to the other nodes of the network. While …