@Article{AraújoCampGome:2013:CaHyMo,
author = "Ara{\'u}jo, Amar{\'{\i}}sio da Silva and Campos Velho, Haroldo
Fraga de and Gomes, Vitor Conrado Faria",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Calibrating an hydrological model by an evolutionary strategy for
multi-objective optimization",
journal = "Inverse Problems in Science and Engineering",
year = "2013",
volume = "21",
number = "3",
pages = "438--450",
note = "{Informa{\c{c}}{\~o}es Adicionais: Version of record first
published: 09 Nov 2012.}",
keywords = "Hydrological model calibration, Epidemic genetic algorithm,
Multi-objective approach.",
abstract = "Hydrologic models simulate the river flow from the contributing
basin for a given river. For the simulation process, the
integration domain is discretized into computational cells. The
inputs for such models are precipitation ratio and the initial
flow. There are many parameters to be determined for an
operational model, including the type of soil (porosity field,
water flux between the bottom of the river and the water layer,
among others). The process to identify the best numerical values
for such parameters is the calibration procedure, belonging to the
class of inverse problems for parameter determination. However,
there is no unique set of parameters for representing the
hydrology cycle. A multi-objective approach is employed to address
the problem. The Pareto set is calculated for the IPH2 model by an
epidemic genetic algorithm.",
doi = "10.1080/17415977.2012.712530",
url = "http://dx.doi.org/10.1080/17415977.2012.712530",
issn = "1741-5977 and 1741-5985",
label = "lattes: 5142426481528206 2 Ara{\'u}joCampGome:2013:CaHyMo",
language = "en",
url = "http://www.tandfonline.com/doi/abs/10.1080/17415977.2012.712530?journalCode=gipe20#preview",
urlaccessdate = "27 abr. 2024"
}