@inproceedings{ab713531ec684c22a8b5b54fbe30c60d,
title = "Biogeography-Based Optimization Algorithm for solving the set covering problem",
abstract = "Biogeography-Based Optimization Algorithm (BBOA) is a kind of new global optimization algorithm inspired by biogeography. It mimics the migration behavior of animals in nature to solve optimization and engineering problems. In this paper, BBOA for the Set Covering Problem (SCP) is proposed. SCP is a classic combinatorial problem from NP-hard list problems. It consist to find a set of solutions that cover a range of needs at the lowest possible cost following certain constraints. In addition, we provide a new feature for improve performance of BBOA, improving stagnation in local optimum. With this, the experiment results show that BBOA is very good at solving such problems.",
keywords = "Biogeography-Based Optimization Algorithm, Set Covering Problem",
author = "Broderick Crawford and Ricardo Soto and Luis Riquelme and Eduardo Olgu{\'i}n",
note = "Funding Information: The author Broderick Crawford is supported by grant CONICYT/FONDECYT/ REGULAR/1140897 and Ricardo Soto is supported by grant CONICYT/FONDECYT/ INICIACION/11130459. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; null ; Conference date: 27-04-2016 Through 30-04-2016",
year = "2016",
doi = "10.1007/978-3-319-33625-1_25",
language = "English",
isbn = "9783319336237",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "273--283",
editor = "Radek Silhavy and Roman Senkerik and Oplatkova, {Zuzana Kominkova} and Petr Silhavy and Zdenka Prokopova",
booktitle = "Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016",
}