TY - GEN
T1 - Combinatorial metaheuristics applied to infectious disease models
AU - Fallas-Monge, Juan Jose
AU - Chavarria-Molina, Jeffry
AU - Alpizar-Brenes, Geisel
N1 - Publisher Copyright:
© 2016 IEEE.
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 - genetic algorithm
KW - infectious disease
KW - metaheuristics
KW - simulated annealing
KW - SIR model
KW - SIS model
UR - http://www.scopus.com/inward/record.url?scp=85021445708&partnerID=8YFLogxK
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 -