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 = "17 jan. 2021"