@inproceedings{48d7b8e9f5b04da48f002be010e8d721,
title = "A Machine Learning Firefly Algorithm Applied to the Resource Allocation Problems",
abstract = "In the fields of engineering and science, there are many combinatorial optimization problems. Many of these problems are NP-hard problems, which are difficult to solve with complete techniques. Therefore, the design of binary algorithms based on swarm intelligence continuous metaheuristics is an area of interest in operations research. In this article, we use a general binarization mechanism based on the k-means technique. We apply k-means technique to the firefly algorithm to solve the multidimensional knapsack problem (MKP). Design experiments to prove the practicality of k-means technique in binarization.",
keywords = "Combinatorial optimization, k-means, Knapsack, Metaheuristics",
author = "Hernan Pinto and Alvaro Pe{\~n}a and Carlos Maureira and Mat{\'i}as Valenzuela and Gabriel Villavicencio",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; null ; Conference date: 01-04-2021 Through 01-04-2021",
year = "2021",
doi = "10.1007/978-3-030-77445-5_27",
language = "English",
isbn = "9783030774448",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "297--305",
editor = "Radek Silhavy",
booktitle = "Artificial Intelligence in Intelligent Systems - Proceedings of 10th Computer Science On-line Conference, 2021",
}