Combinatorial metaheuristics applied to infectious disease models

Juan Jose Fallas-Monge; Jeffry Chavarria-Molina; Geisel Alpizar-Brenes

doi:10.1109/CONCAPAN.2016.7942337

Combinatorial metaheuristics applied to infectious disease models

Escuela de Matemática

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

3 Scopus citations

Abstract

An experiment applying two combinatorial heuristics to three optimization problems related to infectious disease models is presented (SIR and SIS models). The study used the genetic and simulated annealing algorithms to determine the best combination for selected control measures in order to minimize the number of infected individuals and the cost of applying those measures.

Original language	English
Title of host publication	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467395786
DOIs	https://doi.org/10.1109/CONCAPAN.2016.7942337 https://doi.org/10.1109/concapan.2016.7942337
State	Published - 2 Jul 2016
Event	36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica Duration: 9 Nov 2016 → 11 Nov 2016

Publication series

Name	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Conference

Conference	36th IEEE Central American and Panama Convention, CONCAPAN 2016
Country/Territory	Costa Rica
City	San Jose
Period	9/11/16 → 11/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

SIR model
SIS model
genetic algorithm
infectious disease
metaheuristics
simulated annealing

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Fallas-Monge, J. J., Chavarria-Molina, J., & Alpizar-Brenes, G. (2016). Combinatorial metaheuristics applied to infectious disease models. In 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016 Article 7942337 (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONCAPAN.2016.7942337, https://doi.org/10.1109/concapan.2016.7942337

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title = "Combinatorial metaheuristics applied to infectious disease models",

abstract = "An experiment applying two combinatorial heuristics to three optimization problems related to infectious disease models is presented (SIR and SIS models). The study used the genetic and simulated annealing algorithms to determine the best combination for selected control measures in order to minimize the number of infected individuals and the cost of applying those measures.",

keywords = "SIR model, SIS model, genetic algorithm, infectious disease, metaheuristics, simulated annealing",

author = "Fallas-Monge, \{Juan Jose\} and Jeffry Chavarria-Molina and Geisel Alpizar-Brenes",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE Central American and Panama Convention, CONCAPAN 2016 ; Conference date: 09-11-2016 Through 11-11-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/CONCAPAN.2016.7942337",

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Fallas-Monge, JJ, Chavarria-Molina, J & Alpizar-Brenes, G 2016, Combinatorial metaheuristics applied to infectious disease models. in 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016., 7942337, 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016, Institute of Electrical and Electronics Engineers Inc., 36th IEEE Central American and Panama Convention, CONCAPAN 2016, San Jose, Costa Rica, 9/11/16. https://doi.org/10.1109/CONCAPAN.2016.7942337, https://doi.org/10.1109/concapan.2016.7942337

Combinatorial metaheuristics applied to infectious disease models. / Fallas-Monge, Juan Jose; Chavarria-Molina, Jeffry ; Alpizar-Brenes, Geisel.
2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7942337 (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016).

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

TY - GEN

T1 - Combinatorial metaheuristics applied to infectious disease models

AU - Fallas-Monge, Juan Jose

AU - Chavarria-Molina, Jeffry

AU - Alpizar-Brenes, Geisel

PY - 2016/7/2

Y1 - 2016/7/2

N2 - An experiment applying two combinatorial heuristics to three optimization problems related to infectious disease models is presented (SIR and SIS models). The study used the genetic and simulated annealing algorithms to determine the best combination for selected control measures in order to minimize the number of infected individuals and the cost of applying those measures.

AB - An experiment applying two combinatorial heuristics to three optimization problems related to infectious disease models is presented (SIR and SIS models). The study used the genetic and simulated annealing algorithms to determine the best combination for selected control measures in order to minimize the number of infected individuals and the cost of applying those measures.

KW - SIR model

KW - SIS model

KW - genetic algorithm

KW - infectious disease

KW - metaheuristics

KW - simulated annealing

UR - https://www.scopus.com/pages/publications/85021445708

U2 - 10.1109/CONCAPAN.2016.7942337

DO - 10.1109/CONCAPAN.2016.7942337

M3 - Contribución a la conferencia

AN - SCOPUS:85021445708

T3 - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

BT - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th IEEE Central American and Panama Convention, CONCAPAN 2016

Y2 - 9 November 2016 through 11 November 2016

ER -

Fallas-Monge JJ, Chavarria-Molina J , Alpizar-Brenes G. Combinatorial metaheuristics applied to infectious disease models. In 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7942337. (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016). doi: 10.1109/CONCAPAN.2016.7942337, 10.1109/concapan.2016.7942337

Combinatorial metaheuristics applied to infectious disease models

Abstract

Publication series

Conference

UN SDGs

Keywords

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