@inproceedings{3e40034d8280460db06ae9cfa7ef0a07,
title = "A percentile transition ranking algorithm applied to binarization of continuous swarm intelligence metaheuristics",
abstract = "The binarization of continuous swarm-intelligence metaheuristics is an area of great interest in operational research. This interest is mainly due to the application of binarized metaheuristics to combinatorial problems. In this article we propose a general binarization algorithm called Percentil Transition Ranking Algorithm (PTRA). PTRA uses the percentile concept as a binarization mechanism. In particular we apply this mechanism to the Cuckoo Search metaheuristic to solve the Set Covering Problem (SCP). We provide necessary experiments to investigate the role of key ingredients of the algorithm. Finally to demonstrate the efficiency of our proposal, Set Covering benchmark instances of the literature show that PTRA competes with the state-of-the-art algorithms.",
keywords = "Binary metaheuristics, Combinatorial optimization, Percentile ranking, Set covering problem",
author = "Jos{\'e} Garc{\'i}a and Broderick Crawford and Ricardo Soto and Gino Astorga",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; null ; Conference date: 06-02-2018 Through 08-02-2018",
year = "2018",
doi = "10.1007/978-3-319-72550-5_1",
language = "English",
isbn = "9783319725499",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "3--13",
editor = "Abawajy, {Jemal H.} and Rozaida Ghazali and Deris, {Mustafa Mat} and Nawi, {Nazri Mohd}",
booktitle = "Recent Advances on Soft Computing and Data Mining - Proceedings of the 3rd International Conference on Soft Computing and Data Mining SCDM 2018",
}