@inproceedings{2a7315b0192744089dac353ba8f52281,
title = "A cultural algorithm applied in a bi-objective uncapacitated facility location problem",
abstract = "Cultural Algorithms (CAs) are one of the metaheuristics which can be adapted in order to work in multi-objectives optimization environments. On the other hand, Bi-Objective Uncapacitated Facility Location Problem (BOUFLP) and particularly Uncapacitated Facility Location Problem (UFLP) are well know problems in literature. However, only few articles have applied evolutionary multi-objective (EMO) algorithms to these problems and articles presenting CAs applied to the BOUFLP have not been found. In this article we presents a Bi-Objective Cultural Algorithm (BOCA) which was applied to the Bi-Objective Uncapacitated Facility Location Problem (BOUFLP) and it obtain an important improvement in comparison with other well-know EMO algorithms such as PAES and NSGA-II. The considered criteria were cost minimization and coverage maximization. The different solutions obtained with the CA were compared using an hypervolume S metric.",
keywords = "Bi-Objective Cultural Algorithm, Bi-Objective Uncapacitated Facility Location Problem, Evolutionary Multi-Objective Optimization, S metric",
author = "Guillermo Cabrera and Rubio, {Jos{\'e} Miguel} and Daniela D{\'i}az and Boris Fern{\'a}ndez and Claudio Cubillos and Ricardo Soto",
year = "2011",
doi = "10.1007/978-3-642-19893-9_33",
language = "English",
isbn = "9783642198922",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "477--491",
booktitle = "Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Proceedings",
note = "null ; Conference date: 05-04-2011 Through 08-04-2011",
}