Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/14528
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dc.creatorBinoti, Daniel Henrique Breda-
dc.creatorBinoti, Mayra Luiza Marques da Silva-
dc.creatorLeite, Helio Garcia-
dc.creatorGleriani, José Marinaldo-
dc.creatorOliveira, Márcio Leles Romarco de-
dc.creatorCampos, João Carlos Chagas-
dc.creatorMonte, Marco Antonio-
dc.date2016-04-06-
dc.date.accessioned2017-08-01T20:15:11Z-
dc.date.available2017-08-01T20:15:11Z-
dc.date.issued2017-08-01-
dc.identifierhttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/956-
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/14528-
dc.descriptionThis study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models included integer constraints for all management units. Genetic algorithm metaheuristic was used for solving the models. For comparison purposes, the classical model of forest regulation (model I) was used, and the model with adjacency constraints. The proposed formulations proved to be environmentally more effective than the imposition of adjacency constraints. -
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherCERNE-
dc.publisherCERNE-
dc.relationhttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/956/730-
dc.rightsCopyright (c) 2016 CERNE-
dc.rightshttp://creativecommons.org/licenses/by/4.0/-
dc.sourceCERNE; Vol 20 No 1 (2014); 29-36-
dc.sourceCERNE; Vol 20 No 1 (2014); 29-36-
dc.source2317-6342-
dc.source0104-7760-
dc.subjectGenetic algorithms, adjacency constraints, eucalypt.-
dc.titleREGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
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