-
Notifications
You must be signed in to change notification settings - Fork 0
NikosParotsidis/Fully-dynamic_facility_location-NeurIPS2019
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
This is the code used in the paper Fully Dynamic Consistent Facility Location by Vincent Cohen-Addad, Niklas Hjuler, Nikos Parotsidis, David Saulpic and Chris Schwiegelshohn, appearing in the proceedings of NeurIPS 2019. # dynamic-facility-location Use main file to run all 3 algorithms You will be asked for the following input Datafile: your data file either as a csv or space seperated. opening cost: cost of opening a center Number of iterations: the number of points you want to use for the experiment, should be lower than the number of points in your data set and larger than the window size Window size: the size of your window for the experiment start variable: the first number variable you want to use. end variable: the last number variable you want to use. There will be created 3 output files AR+datafile which is the data for the always recompute algorithm (number iterations , current cost, total recourse, total time) NR+datafile which is the date for the never recompute algorithm (number iterations , current cost, total recourse, total time) S+datafile which is the data for our algorithm (number iterations , current cost, total recourse, total time) All files space seperated Cost is the sum of open centers plus the of the distances for each point to the center they are assigned to.
About
The code from the paper "Fully Dynamic Consistent Facility Location" appearing in the proceeding of NeurIPS 2019
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published