@inproceedings{9c092c804ab94f7fa62f8b7f904820e0,
title = "Cultural algorithms for the set covering problem",
abstract = "This paper addresses the solution of weighted set covering problems using cultural algorithms. The weighted set covering problem is a reasonably well known NP-complete optimization problem with many real world applications. We use a cultural evolutionary architecture to maintain knowledge of diversity and fitness learned over each generation during the search process. The proposed approach is validated using benchmark instances, and its results are compared with respect to other approaches which have been previously adopted to solve the problem. Our results indicate that the approach is able to produce very competitive results in compare with other algorithms solving the portfolio of test problems taken from the ORLIB.",
keywords = "Cultural Algorithm, Genetic and Evolutionary Computation, Weighted Set Covering Problem",
author = "Broderick Crawford and Ricardo Soto and Eric Monfroy",
year = "2013",
doi = "10.1007/978-3-642-38715-9_4",
language = "English",
isbn = "9783642387142",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "27--34",
booktitle = "Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings",
edition = "PART 2",
note = "4th International Conference on Advances in Swarm Intelligence, ICSI 2013 ; Conference date: 12-06-2012 Through 15-06-2012",
}