@inproceedings{b2e783b93d754932a3323574cb4de71a,

title = "A Binary Whale Algorithm Applied to Knapsack Problem",

abstract = "Combinatorial and particularly combinatorial NP-hard problems are of importance and interest in operations research. Therefore, the design of efficient algorithms that address these combinatorial problems are applied research lines with interesting potential. Inspired by the above, this article designs a binarization method so that continuous metaheuristics can solve combinatorial problems. The binarization method uses the concept of percentile. This percentile method is applied to the firefly algorithm. The multidimensional backpack problem (MKP) was used to verify our algorithm.",

keywords = "Combinatorial optimization, Metaheuristics, Multidimensional knapsack problem",

author = "Paola Moraga and Pamela Valenzuela and Francisco Altimiras and Luis Lopez and Rubio, {Jos{\'e} Miguel}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; null ; Conference date: 01-10-2021 Through 01-10-2021",

year = "2021",

doi = "10.1007/978-3-030-90321-3_38",

language = "English",

isbn = "9783030903206",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "465--474",

editor = "Radek Silhavy and Petr Silhavy and Zdenka Prokopova",

booktitle = "Data Science and Intelligent Systems - Proceedings of 5th Computational Methods in Systems and Software 2021",

}