Biogeography-Based Optimization Algorithm for solving the set covering problem

BRODERICK   CRAWFORD LABRIN; RICARDO JAVIER SOTO DE GIORGIS; Luis Riquelme; Eduardo Olguín

doi:10.1007/978-3-319-33625-1_25

Biogeography-Based Optimization Algorithm for solving the set covering problem

BRODERICK CRAWFORD LABRIN, RICARDO JAVIER SOTO DE GIORGIS, Luis Riquelme, Eduardo Olguín

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016
Editors	Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
Publisher	Springer Verlag
Pages	273-283
Number of pages	11
ISBN (Print)	9783319336237
DOIs	https://doi.org/10.1007/978-3-319-33625-1_25
State	Published - 1 Jan 2016
Event	5th Computer Science On-line Conference, CSOC 2016 - Prague, Czech Republic Duration: 27 Apr 2016 → 30 Apr 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	464
ISSN (Print)	2194-5357

Conference

Conference	5th Computer Science On-line Conference, CSOC 2016
Country/Territory	Czech Republic
City	Prague
Period	27/04/16 → 30/04/16

Keywords

Biogeography-Based Optimization Algorithm
Set Covering Problem

Access to Document

10.1007/978-3-319-33625-1_25

Cite this

CRAWFORD LABRIN, BRODERICK., SOTO DE GIORGIS, RICARDO. JAVIER., Riquelme, L., & Olguín, E. (2016). Biogeography-Based Optimization Algorithm for solving the set covering problem. In R. Silhavy, R. Senkerik, Z. K. Oplatkova, P. Silhavy, & Z. Prokopova (Eds.), Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016 (pp. 273-283). (Advances in Intelligent Systems and Computing; Vol. 464). Springer Verlag. https://doi.org/10.1007/978-3-319-33625-1_25

CRAWFORD LABRIN, BRODERICK ; SOTO DE GIORGIS, RICARDO JAVIER ; Riquelme, Luis ; Olguín, Eduardo. / Biogeography-Based Optimization Algorithm for solving the set covering problem. Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016. editor / Radek Silhavy ; Roman Senkerik ; Zuzana Kominkova Oplatkova ; Petr Silhavy ; Zdenka Prokopova. Springer Verlag, 2016. pp. 273-283 (Advances in Intelligent Systems and Computing).

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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 = "{CRAWFORD LABRIN}, BRODERICK and {SOTO DE GIORGIS}, {RICARDO JAVIER} and Luis Riquelme and Eduardo Olgu{\'i}n",

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doi = "10.1007/978-3-319-33625-1_25",

language = "English",

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series = "Advances in Intelligent Systems and Computing",

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booktitle = "Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016",

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CRAWFORD LABRIN, BRODERICK , SOTO DE GIORGIS, RICARDOJAVIER, Riquelme, L & Olguín, E 2016, Biogeography-Based Optimization Algorithm for solving the set covering problem. in R Silhavy, R Senkerik, ZK Oplatkova, P Silhavy & Z Prokopova (eds), Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016. Advances in Intelligent Systems and Computing, vol. 464, Springer Verlag, pp. 273-283, 5th Computer Science On-line Conference, CSOC 2016, Prague, Czech Republic, 27/04/16. https://doi.org/10.1007/978-3-319-33625-1_25

Biogeography-Based Optimization Algorithm for solving the set covering problem. / CRAWFORD LABRIN, BRODERICK ; SOTO DE GIORGIS, RICARDO JAVIER; Riquelme, Luis; Olguín, Eduardo.

Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016. ed. / Radek Silhavy; Roman Senkerik; Zuzana Kominkova Oplatkova; Petr Silhavy; Zdenka Prokopova. Springer Verlag, 2016. p. 273-283 (Advances in Intelligent Systems and Computing; Vol. 464).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - CRAWFORD LABRIN, BRODERICK

AU - SOTO DE GIORGIS, RICARDO JAVIER

AU - Riquelme, Luis

AU - Olguín, Eduardo

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N2 - 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.

AB - 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.

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CRAWFORD LABRIN BRODERICK , SOTO DE GIORGIS RICARDOJAVIER, Riquelme L, Olguín E. Biogeography-Based Optimization Algorithm for solving the set covering problem. In Silhavy R, Senkerik R, Oplatkova ZK, Silhavy P, Prokopova Z, editors, Artificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016. Springer Verlag. 2016. p. 273-283. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-33625-1_25

Biogeography-Based Optimization Algorithm for solving the set covering problem

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