The ε- Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal Technological University of Paraná-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorFilho, Angelo Aliano-
Autor(es): dc.creatorSilva, Helenice Florentino-
Data de aceite: dc.date.accessioned2025-08-21T22:00:30Z-
Data de disponibilização: dc.date.available2025-08-21T22:00:30Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-85476-8_3-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231558-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231558-
Descrição: dc.descriptionThis study presents a nonlinear bi-objective 0-1 optimization model for sustainable cultivation and proposes an exact method to solve it. In this formulation, among a set of cultures, a predefined number of cultivable plots and planning horizon, it is intended to decide which crops, periods and plots should be cultivated. Two conflicting objectives are considered: (i) minimize the proliferation of pests and (ii) maximize the profit of the planting schedule in all planning horizon. The mathematical formulation was solved by the classical ε- constrained method. We linearized the original model and obtained an alternative linear version of our problem. Then, we compare the performance of ε- constrained method in this two formulation to determine some Pareto optimal solutions in 27 instances generated by a semi-random procedure of real dimension. The experiments showed that mathematical models along with the proposed method may be powerful tools in the complex decision-making in this field.-
Descrição: dc.descriptionFederal Technological University of Paraná-
Descrição: dc.descriptionInstitute of Bioestatistics of Botucatu State University of São Paulo-
Formato: dc.format25-37-
Idioma: dc.languageen-
Relação: dc.relationSpringer Proceedings in Mathematics and Statistics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectMulti-objective optimization-
Palavras-chave: dc.subjectSustainability-
Palavras-chave: dc.subjectε- Constrained method-
Título: dc.titleThe ε- Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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