This repository contains instances, experimental data, and code for the paper Gliesch, Ritt, Moreira, A genetic algorithm for fair land allocation, Proc. GECCO 2017, 793-800.
In subdirectory data
you can find the following supplementary data to the results presented in the paper:
- Table 1: Information on the instances.
- Table 2: irace parameter files and results.
- Table 3: results of the calibration of the optimal batch size: fixed time and 50 replications.
- Tables 4 and 5: scalability and effectiveness experiments: constructive algorithm, BFS and GA.
- Table 6: comparison of our GA and the manual allocation.
The instance generator is in the subdirectory instances/instance-generator
. You need the Boost libraries to compile. If they're installed, use
cd instances/instance-generator; make -j
to build it.
The code is contained in the subdirectory src
. You need the Boost libraries to compile. To build:
cd src; make -j
@InProceedings{Gliesch.etal/2017,
author = {Alex Gliesch and Marcus Ritt and Mayron C. O. Moreira},
title = {A genetic algorithm for fair land allocation},
booktitle = {Proc. 19th Conf. Genetic Evol. Comput.},
editor = {Peter A. Bosnan},
crossref = {gecco2017},
year = {2017},
pages = {793--800},
address = {Berlin},
publisher = {ACM Press},
doi = {10.1145/3071178.3071313},
isbn = {9781450349208}
}