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dc.contributor.authorvon Lucken Martínez, Christian Daniel 
dc.contributor.authorAcosta, Ángel
dc.contributor.authorRojas, Norma
dc.contributor.otherUniversidad Nacional de Asunción - Facultad Politécnicaes
dc.date.accessioned2022-05-03T01:44:57Z
dc.date.available2022-05-03T01:44:57Z
dc.date.issued2021
dc.identifier.issn2190-3026es
dc.identifier.urihttp://hdl.handle.net/20.500.14066/4170
dc.description.abstractCrop rotation consists of alternating the types of plants grown in the same place in a planned sequence to obtain improved profits and accomplish environmental outcomes. Determining optimal crop rotations is a relevant decision-making problem in agricultural farms. This work presents a seven objective crop rotation problem considering economic, social, and environmental factors and its solution using evolutionary algorithms; to this aim, an initialization procedure and genetic operators are proposed. Five multi- and many-objective evolutionary algorithms were implemented for a given problem instance, and their results were compared. The comparison shows the methods to be used as a tool for improving decision-making in crop rotations. Also, among the compared algorithms, the RVEA obtains the best values for evaluated metrics for the studied instance.es
dc.description.sponsorshipCONACYT - Consejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.relation.ispartofIntelligent Decision Technologieses
dc.subject.classification4 Transporte, telecomunicaciones y otras infraestructurases
dc.subject.otherALGORITMOSes
dc.subject.otherCOMPUTACIONes
dc.subject.otherCROP ROTATION PROBLEMSes
dc.subject.otherEVOLUTIONARY ALGORITHMSes
dc.subject.otherMULTIOBJECTIVE OPTIMIZATIONes
dc.titleSolving a Many-Objective Crop Rotation Problem with Evolutionary Algorithmses
dc.typeresearch articlees
dc.conference.date2021-06
dc.conference.placeRoma, ITes
dc.conference.title13th International KES Conferencees
dc.description.fundingtextPROCIENCIAes
dc.relation.projectCONACYTPINV18-949es
dc.rights.accessRightsembargoed accesses


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