%0 Book Section
%3 sambatti-epidemic.pdf
%4 sid.inpe.br/mtc-m21c/2018/07.18.16.24
%A Sambatti, Sabrina B. M.,
%A Campos Velho, Haroldo Fraga de,
%A Chiwiacowski, Leonardo D.,
%@secondarytype PRE LI
%B Integral methods in science and engineering
%C Brighton, UK
%D 2019
%E Constanda, Christian,
%E Harris, Paul,
%@secondarykey INPE--PRE/
%I Springer
%K Genetic algorithm, parallel computing, inverse problem.
%P 381-394
%T Epidemic Genetic Algorithm for solving inverse problems: parallel algorithms
%X Parallel Genetic Algorithm (PGA) is employed to solve inverse problems. The PGA is codified considering the island model (individuals are free to migrate to any other processor, subjected to specific rules); and steppingstone model (migration is allowed only for closest processors). The parallel code is generated using calls to the message passing communication library MPI (Message Passing Interface). In the our GA approach, a new genetic operator, named epidemic, is applied. The technique is employed to solve an inverse heat conduction problem of determining the initial temperature from the transient noisy temperature profile at a given time. This ill-posed problem requires the use of a regularization technique.
%@area COMP
%@electronicmailaddress sabrinabms@gmail.com
%@electronicmailaddress haroldo.camposvelho@inpe.br
%@documentstage not transferred
%@group
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@isbn 978-3-030-16077-7
%@usergroup simone
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHC3
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@affiliation Clima Tempo
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Caxias
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%2 sid.inpe.br/mtc-m21c/2018/07.18.16.24.55