@inproceedings{d11cc5be90ef43038f1f0009c84ab72a,
title = "Pre-processing, repairing and transfer functions can help binary electromagnetism-like algorithms",
abstract = "The Electromagnetism-like algorithm is a relatively modern metaheuristic based on the attraction-repulsion mechanism of particles in the context of electromagnetism theory. This paper focuses on improving performance of this metaheuristic when solving binary problems. To this end, we incorporate three elements: pre-processing, repairing, and transfers functions. The pre-processing allows to reduce the size of instances, while repairing eliminates those potential solutions that violate the constraints. Finally, the incorporation of a transfer function adapts the solutions to a binary domains. We illustrate experimental results where the incorporation of these elements improve the resolution phase, when solving a set of 65 non-unicost set covering problems.",
keywords = "Electromagnetism-like Algorithm, Metaheuristics, Pre-processing",
author = "Ricardo Soto and Broderick Crawford and Alexis Mu{\~n}oz and Franklin Johnson and Fernando Paredes",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th Computer Science On-line Conference, CSOC 2015 ; Conference date: 27-04-2015 Through 30-04-2015",
year = "2015",
doi = "10.1007/978-3-319-18476-0_10",
language = "English",
isbn = "9783319184753",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "89--97",
editor = "Radek Silhavy and Roman Senkerik and Oplatkova, {Zuzana Kominkova} and Zdenka Prokopova and Petr Silhavy",
booktitle = "Artificial Intelligence Perspectives and Applications - Proceedings of the 4th Computer Science On-line Conference 2015, CSOC 2015",
}