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orloca  

Operations Research LOCational Analysis Models
View on CRAN: Click here


Download and install orloca package within the R console
Install from CRAN:
install.packages("orloca")

Install from Github:
library("remotes")
install_github("cran/orloca")

Install by package version:
library("remotes")
install_version("orloca", "5.6")



Attach the package and use:
library("orloca")
Maintained by
Manuel Munoz-Marquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-06-16
Latest Update: 2024-02-07
Description:
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. . 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. .
How to cite:
Manuel Munoz-Marquez (2008). orloca: Operations Research LOCational Analysis Models. R package version 5.6, https://cran.r-project.org/web/packages/orloca. Accessed 22 Feb. 2025.
Previous versions and publish date:
1.0 (2008-06-16 12:02), 2.0 (2008-09-15 09:03), 3.0 (2010-04-05 09:54), 3.1 (2010-04-22 08:21), 3.2 (2010-05-26 18:55), 4.0 (2012-05-09 12:04), 4.1 (2012-12-27 06:26), 4.2 (2014-06-02 22:17), 4.3 (2017-10-24 23:45), 4.5 (2018-04-21 23:22), 4.6 (2018-10-27 09:00), 4.8 (2019-03-29 00:00), 4.9 (2020-03-04 17:00), 4.10 (2020-09-27 12:50), 5.3 (2023-05-16 13:10)
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