The optimization of irrigation networks using genetic algorithms

Optimización de redes de riego mediante algoritmos genéticos;
Optimisation des réseaux d'irrigation à l'aide d'algorithmes génétiques;
Optimierung von Bewässerungsnetzen mit genetischen Algorithmen;
Ottimizzazione delle reti di irrigazione mediante algoritmi genetici;
Otimização de redes de irrigação usando algoritmos genéticos

dc.creatorMARCUZZO, Francisco Fernando Noronha
dc.creatorWENDLAND, Edson Cezar
dc.date2017-04-06T13:37:35Z
dc.date2017-04-06T13:37:35Z
dc.date2014
dc.date.accessioned2023-10-03T20:55:02Z
dc.date.available2023-10-03T20:55:02Z
dc.identifierMARCUZZO, Francisco Fernando Noronha; WENDLAND, Edson Cezar. The optimization of irrigation networks using genetic algorithms. Journal of Water Resource and Protection, v. 6, p. 1124-1138, 2014.
dc.identifierhttps://rigeo.cprm.gov.br/handle/doc/17640
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9177716
dc.descriptionMathematical-computational optimisation models of irrigation networks with a distributed flow that are capable of providing hydraulic data are important for understanding the behaviour of a system in relation to the distribution of the hydraulic head (energy) and the pressure in the pipes of the network. The objective of this study was to examine the distribution of the parameters ofhydraulic irrigation pipes, which were optimised using genetic algorithms. The degree of the op- timisation was evaluated with the help of the genetic algorithms based on the diameters of stretchof the network: two for the lateral lines, four for the derivation lines, four for the secondary lines and one for the main line. A MatLab code was developed that considered all of the losses of energy, both distributed losses and those at specific locations between the beginning of the network and the pump system. The sensitivity analysis was based on the variations in the slope of the ground (0%, 2.5% and 5%). The results show that for pipes with a distributed flow, the influence of the behaviour of the kinetic energy in the pipe contributed to the distance between the energy lines and the piezometric lines at the beginning of each stretch after the decrease in the diameter of the pipes. At the end of the pipes, the values of the energy lines and the piezometric lines were very similar, and they were essentially the same for the final emitter.
dc.formatapplication/pdf
dc.formatimage/png
dc.languageen
dc.publisherScientific Research
dc.rightsopen
dc.subjectIRRIGAÇÃO POR MICROASPERSOR
dc.subjectHIDRÁULICA
dc.subjectOTIMIZAÇÃO MATEMÁTICA
dc.subjectCONDUÍTES SOB PRESSÃO
dc.subjectCARGA HIDRÁULICA
dc.subjectMICROASPERSÃO
dc.subjectHIDRÁULICA DE CONDUTOS FORÇADOS
dc.subjectOTIMIZAÇÃO DE REDES DE IRRIGAÇÃO
dc.subjectALGORITMOS GENÉTICOS
dc.subjectCOEFICIENTE DE ATRITO
dc.subjectCOEFICIENTE DE AJUSTE F
dc.subjectTUBULAÇÃO COM MÚLTIPLAS SAÍDAS
dc.subjectCONDUITS UNDER PRESSURE
dc.subjectHYDRAULIC HEAD
dc.subjectMICRO-SPRINKLER IRRIGATION
dc.subjectMATHEMATICAL OPTIMISATION
dc.subjectOPTIMIZATION OF IRRIGATION NETWORKS
dc.subjectGENETIC ALGORITHMS
dc.subjectENERGY LINES
dc.subjectPIEZOMETRIC LINES
dc.subjectFRICTION TUBING
dc.subjectADJUSTED F FACTOR
dc.subjectMULTIPLE-OUTLET PIPES
dc.titleThe optimization of irrigation networks using genetic algorithms
dc.titleOptimización de redes de riego mediante algoritmos genéticos
dc.titleOptimisation des réseaux d'irrigation à l'aide d'algorithmes génétiques
dc.titleOptimierung von Bewässerungsnetzen mit genetischen Algorithmen
dc.titleOttimizzazione delle reti di irrigazione mediante algoritmi genetici
dc.titleOtimização de redes de irrigação usando algoritmos genéticos
dc.typeArticle


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