Background
Type: Article

A fast algorithm for the rectilinear distance location problem

Journal: Mathematical Methods of Operations Research (14325217)Year: 1 August 2018Volume: 88Issue: Pages: 81 - 98
DOI:10.1007/s00186-018-0629-1Language: English

Abstract

In this paper, we consider the rectilinear distance location problem with box constraints (RDLPBC) and we show that RDLPBC can be reduced to the rectilinear distance location problem (RDLP). A necessary and sufficient condition of optimality is provided for RDLP. A fast algorithm is presented for finding the optimal solution set of RDLP. Global convergence of the method is proved by a necessary and sufficient condition. The new proposed method is provably more efficient in finding the optimal solution set. Computational experiments highlight the magnitude of the theoretical efficiency. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.


Author Keywords

Box constraintsLocationRectilinear distanceSubdifferential

Other Keywords

Optimal systemsBox constraintsComputational experimentGlobal conver-genceLocation problemsOptimal solution setsRectilinear distanceSubdifferentialsTheoretical efficienciesLocation