@article{11658822-c44a-48e0-853e-8518a08e83b3,
author = {Krzysztof  Schiff},
title = {Ant colony optimisation algorithm for the facility localisation problem},
journal = {Czasopismo Techniczne},
volume = {2018},
number = {Volume 1 Year 2018 (115)},
year = {2018},
issn = {0011-4561},
pages = {103-112},keywords = {facility localisation problem; ant colony optimisation; heuristic algorithm},
abstract = {This article describes a new ant colony optimisation algorithm for the facility localisation problem with a new heuristic pattern proposed by the author, which consists of three parts: the function of the average cost of client servicing; the total minimum cost of servicing from a site, which is selected and included into the solution; the function of improving the cost of already serviced clients. In this comparison, simulations were presented, and two parameters were observed: the number of sites and the cost of client servicing. The new algorithm allowed to improve the solution in both of these parameters.},
doi = {10.4467/2353737XCT.18.008.7959},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/ant-colony-optimisation-algorithm-for-the-facility-localisation-problem}
}