{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:40:28Z","timestamp":1762324828738,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T00:00:00Z","timestamp":1601683200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T00:00:00Z","timestamp":1601683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1007\/s12145-020-00528-8","type":"journal-article","created":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T16:02:24Z","timestamp":1601740944000},"page":"37-50","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Improving flood forecasting through feature selection by a genetic algorithm \u2013 experiments based on real data from an Amazon rainforest river"],"prefix":"10.1007","volume":"14","author":[{"given":"Alen Costa","family":"Vieira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Garcia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rosa E. C.","family":"Pab\u00f3n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciano P.","family":"Cota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paulo","family":"de Souza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00f3","family":"Ueyama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7411-9229","authenticated-orcid":false,"given":"Gustavo","family":"Pessin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,3]]},"reference":[{"issue":"6","key":"528_CR1","first-page":"731","volume":"10","author":"D Bhandari","year":"1996","unstructured":"Bhandari D, Murthy CA (1996) Genetic algorithm with elitist model and its convergence. IJPRAI 10(6):731\u2013747","journal-title":"IJPRAI"},{"issue":"1","key":"528_CR2","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.jhydrol.2007.08.029","volume":"347","author":"ST Chen","year":"2007","unstructured":"Chen ST, Yu PS (2007) Pruning of support vector networks on flood forecasting. J Hydrol 347(1):67\u201378","journal-title":"J Hydrol"},{"key":"528_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.4018\/jncr.2012100103","volume":"3","author":"DV de Lucena","year":"2012","unstructured":"de Lucena DV, de Lima TW, Soares AS, Coelho CJ (2012) Multi-objective evolutionary algorithm nsga-ii for variables selection in multivariate calibration problems. Int J Natural Comput Res 3:43\u201358","journal-title":"Int J Natural Comput Res"},{"key":"528_CR4","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.ins.2017.10.022","volume":"425","author":"LL de Oliveira","year":"2018","unstructured":"de Oliveira LL, Freitas AA, Tin\u00f3s R. (2018) Multi-objective genetic algorithms in the study of the genetic code\u2019s adaptability. Inf Sci 425:48\u201361","journal-title":"Inf Sci"},{"key":"528_CR5","unstructured":"de Paula TI (2015) Avalia\u00e7\u00e3o da influ\u00eancia de par\u00eametros do algoritmo gen\u00e9tico na otimiza\u00e7\u00e3o de um problema multiobjetivo utilizando-se arranjo de misturas. Master\u2019s thesis, PPGEP, Univesidade Federal de Itajub\u00e1"},{"key":"528_CR6","doi-asserted-by":"publisher","first-page":"45","DOI":"10.21168\/rbrh.v18n4.p45-54","volume":"18","author":"F Dornelles","year":"2013","unstructured":"Dornelles F, Goldenfum JA, Pedrollo OC (2013) Artificial neural network methods applied to forecasting river levels. Revista Brasileira de Recursos H\u00eddricos 18:45\u201354","journal-title":"Revista Brasileira de Recursos H\u00eddricos"},{"issue":"1-4","key":"528_CR7","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3233\/FI-1998-35123403","volume":"35","author":"AE Eiben","year":"1998","unstructured":"Eiben AE, Schippers CA (1998) On evolutionary exploration and exploitation. Fundamenta Informaticae 35(1-4):35\u201350","journal-title":"Fundamenta Informaticae"},{"key":"528_CR8","unstructured":"EM-DAT (2016) The international disaster database. Emdat Advanced Search. Available at www.emdat.be\/advanced_search\/index.html"},{"issue":"Part","key":"528_CR9","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.is.2018.01.003","volume":"74","author":"CD Francescomarino","year":"2018","unstructured":"Francescomarino CD, Dumas M, Federici M, Ghidini C, Maggi FM, Rizzi W, Simonetto L (2018) Genetic algorithms for hyperparameter optimization in predictive business process monitoring. Inf Syst 74(Part):67\u201383","journal-title":"Inf Syst"},{"key":"528_CR10","unstructured":"Franco VS (2014) Previsao hidrol\u00f3gica de cheia sazonal do rio xingu em altamira-pa. Master\u2019s thesis, PPGCA, Universidade Federal do Par\u00e1"},{"issue":"5","key":"528_CR11","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1007\/s00521-015-1930-z","volume":"27","author":"G Furquim","year":"2016","unstructured":"Furquim G, Pessin G, Fai\u00e7al BS, Mendiondo EM, Ueyama J (2016) Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. Neural Comput & Applic 27 (5):1129\u20131141","journal-title":"Neural Comput & Applic"},{"issue":"7","key":"528_CR12","doi-asserted-by":"publisher","first-page":"4295","DOI":"10.1002\/wrcr.20339","volume":"49","author":"S Galelli","year":"2013","unstructured":"Galelli S, Castelletti A (2013) Tree-based iterative input variable selection for hydrological modeling. Water Resour Res 49(7): 4295\u20134310","journal-title":"Water Resour Res"},{"key":"528_CR13","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.envsoft.2014.08.015","volume":"62","author":"S Galelli","year":"2014","unstructured":"Galelli S, Humphrey GB, Maier HR, Castelletti A, Dandy GC, Gibbs MS (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models. Environ Model Softw 62:33\u201351","journal-title":"Environ Model Softw"},{"issue":"4","key":"528_CR14","doi-asserted-by":"publisher","first-page":"2009","DOI":"10.1016\/j.jfranklin.2017.10.008","volume":"355","author":"A Gavriilidis","year":"2018","unstructured":"Gavriilidis A, Velten J, Tilgner S, Kummert A (2018) Machine learning for people detection in guidance functionality of enabling health applications by means of cascaded SVM classifiers. J Franklin Institute 355(4):2009\u20132021","journal-title":"J Franklin Institute"},{"issue":"18","key":"528_CR15","doi-asserted-by":"publisher","first-page":"5309","DOI":"10.1007\/s00500-016-2115-0","volume":"21","author":"VP Gon\u00e7alves","year":"2016","unstructured":"Gon\u00e7alves VP, Giancristofaro GT, Geraldo Filho P, Johnson T, Carvalho V, Pessin G, de Almeida Neris VP, Ueyama J (2016) Assessing users emotion at interaction time: a multimodal approach with multiple sensors. Soft Comput 21(18): 5309\u20135323","journal-title":"Soft Comput"},{"key":"528_CR16","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn 3:1157\u20131182","journal-title":"J Mach Learn"},{"key":"528_CR17","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s11069-020-03935-8","volume":"102","author":"K Haddad","year":"2020","unstructured":"Haddad K, Rahman A (2020) Regional flood frequency analysis: evaluation of regions in cluster space using support vector regression. Nat Hazards 102:489\u2013517","journal-title":"Nat Hazards"},{"key":"528_CR18","unstructured":"Hall MA (1999) Correlation-based feature selection for machine learning"},{"key":"528_CR19","unstructured":"Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan Press"},{"key":"528_CR20","volume-title":"Climate change 2013: the physical science basis. contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change","author":"IPCC","year":"2013","unstructured":"IPCC (2013) Climate change 2013: the physical science basis. contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge"},{"issue":"1","key":"528_CR21","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s13042-015-0363-4","volume":"9","author":"M Jing","year":"2018","unstructured":"Jing M, Jie Y, Shou-yi L, Lu W (2018) Application of fuzzy analytic hierarchy process in the risk assessment of dangerous small-sized reservoirs. Int J Mach Learn Cybern 9(1):113\u2013123","journal-title":"Int J Mach Learn Cybern"},{"key":"528_CR22","unstructured":"Khaji E, Mohammadi AS (2014) A heuristic method to generate better initial population for evolutionary methods. CoRR arXiv:1406.4518"},{"key":"528_CR23","unstructured":"Linden R (2012) Algoritmo genetico editora ciencia mordena"},{"issue":"1","key":"528_CR24","first-page":"46","volume":"8","author":"D Mokadem","year":"2018","unstructured":"Mokadem D, Amine A, Elberrichi Z, Helbert D (2018) Detection of urban areas using genetic algorithms and kohonen maps on multispectral images. IJOCI 8(1):46\u201362","journal-title":"IJOCI"},{"key":"528_CR25","volume-title":"Design and analysis of experiments","author":"DC Montgomery","year":"2013","unstructured":"Montgomery DC (2013) Design and analysis of experiments, 8th edn. Wiley, New York","edition":"8th edn."},{"issue":"8","key":"528_CR26","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"528_CR27","unstructured":"Pfafstetter O (1989) Classifica\u00e7\u00e3o de bacias hidrogr\u00e1ficas - Metodologia de classifica\u00e7\u00e3o Departamento Nacional de Obras de Saneamento (RJ)"},{"issue":"10","key":"528_CR28","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1016\/j.camwa.2006.07.013","volume":"53","author":"S Rahnamayan","year":"2007","unstructured":"Rahnamayan S, Tizhoosh HR, Salama MMA (2007) A novel population initialization method for accelerating evolutionary algorithms. Comput Math Applic 53(10):1605\u20131614","journal-title":"Comput Math Applic"},{"key":"528_CR29","unstructured":"Rocha EJP, Rolim PAM, Santos DM (2007) Modelo estat\u00edstico hidroclim\u00e1tico para previs\u00e3o de n\u00edveis em Altamira-PA. In: XVII Simp\u00f3sio brasileiro de recursos h\u00eddricos"},{"key":"528_CR30","doi-asserted-by":"crossref","unstructured":"Rodrigues MM, Costa MGF, Filho CFFC (2015) Proposta de um m\u00e9todo para previs\u00e3o de cheias sazonais utilizando redes neurais artificiais: Uma aplica\u00e7\u00e3o no rio amazonas. In: Workshop de computa\u00e7\u00e3o aplicada a gest\u00e3o do meio ambiente e recursos naturais (WCAMA)","DOI":"10.5753\/wcama.2015.10184"},{"key":"528_CR31","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1093\/biomet\/52.3-4.591","volume":"52","author":"SS Shapiro","year":"1965","unstructured":"Shapiro SS, Wilk MB (1965) An analysis of variance test for normality (complete samples). Biometrika 52:591\u2013611","journal-title":"Biometrika"},{"key":"528_CR32","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.future.2018.02.002","volume":"83","author":"B Silva","year":"2018","unstructured":"Silva B, Netto MAS, Cunha RLF (2018) Jobpruner: a machine learning assistant for exploring parameter spaces in HPC applications. Future Gen Comp Sys 83:144\u2013157","journal-title":"Future Gen Comp Sys"},{"key":"528_CR33","doi-asserted-by":"crossref","unstructured":"Souza F, Ara\u00fajo R (2011) Variable and time-lag selection using empirical data. In: IEEE 16th conference on emerging technologies & factory automation, ETFA 2011, pp 1\u20138","DOI":"10.1109\/ETFA.2011.6059083"},{"key":"528_CR34","unstructured":"Sumbana MIM, Silva AJC, Gon\u00e7alves MA, Almeida JM, Pappa GL (2012) Sele\u00e7\u00e3o de atributos utilizando algoritmos gen\u00e9ticos para detec\u00e7\u00e3o do vandalismo na wikipedia. In: XXVII Simp\u00f3sio brasileiro de banco de dados - short papers, S\u00e3o Paulo, S\u00e3o Paulo, Brasil, October 15-18, 2012, pp 209\u2013216"},{"key":"528_CR35","unstructured":"Thomas JM (2017) Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques. Ph.D. thesis, Dresden University of Technology, Germany"},{"issue":"C","key":"528_CR36","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.envsoft.2014.11.018","volume":"64","author":"H Tran","year":"2015","unstructured":"Tran H, Muttil N, Perera B (2015) Selection of significant input variables for time series forecasting. Environmental Modelling & Software 64(C):156\u2013163","journal-title":"Environmental Modelling & Software"},{"key":"528_CR37","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.compenvurbsys.2017.05.001","volume":"65","author":"J Ueyama","year":"2017","unstructured":"Ueyama J, Fai\u00e7al BS, Mano LY, Bayer G, Pessin G, Gomes PH (2017) Enhancing reliability in wireless sensor networks for adaptive river monitoring systems: reflections on their long-term deployment in Brazil. Computers, Environment and Urban Systems 65:41\u201352","journal-title":"Computers, Environment and Urban Systems"},{"key":"528_CR38","unstructured":"UFSC (2013) Atlas Brasileiro de Desastres Naturais: 1991 a 2012. Centro Universitario de Estudos e Pesquisa sobre Desastres. Universidade Federal de Santa Catarina"},{"key":"528_CR39","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.3390\/w11071327","volume":"11","author":"J Wu","year":"2019","unstructured":"Wu J, Liu H, Wei G, Song T, Zhang C, Zhou H (2019) Flash flood forecasting using support vector regression model in a small mountainous catchment. Water 11:1327","journal-title":"Water"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-020-00528-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-020-00528-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-020-00528-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,4]],"date-time":"2021-10-04T21:17:27Z","timestamp":1633382247000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-020-00528-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,3]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["528"],"URL":"https:\/\/doi.org\/10.1007\/s12145-020-00528-8","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"type":"print","value":"1865-0473"},{"type":"electronic","value":"1865-0481"}],"subject":[],"published":{"date-parts":[[2020,10,3]]},"assertion":[{"value":"11 June 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}