orloca: Operations Research LOCational Analysis Models

Objects and methods to handle and solve the min-sum location problem, also known as Fermat-Weber problem. The min-sum location problem search for a point such that the weighted sum of the distances to the demand points are minimized. See "The Fermat-Weber location problem revisited" by Brimberg, Mathematical Programming, 1, pg. 71-76, 1995. <DOI:10.1007/BF01592245>. General global optimization algorithms are used to solve the problem, along with the adhoc Weiszfeld method, see "Sur le point pour lequel la Somme des distances de n points donnes est minimum", by Weiszfeld, Tohoku Mathematical Journal, First Series, 43, pg. 355-386, 1937 or "On the point for which the sum of the distances to n given points is minimum", by E. Weiszfeld and F. Plastria, Annals of Operations Research, 167, pg. 7-41, 2009. <DOI:10.1007/s10479-008-0352-z>.

Package details

AuthorManuel Munoz-Marquez <[email protected]>
MaintainerManuel Munoz-Marquez <[email protected]>
LicenseGPL (>= 3)
Version4.6
URL http://knuth.uca.es/orloca
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("orloca", repos="http://R-Forge.R-project.org")

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orloca documentation built on Oct. 26, 2018, 3 p.m.