The ε- Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation
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Data
2021-01-01
Autores
Filho, Angelo Aliano
Silva, Helenice Florentino
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Resumo
This 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.
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Multi-objective optimization, Sustainability, ε- Constrained method
Como citar
Springer Proceedings in Mathematics and Statistics, v. 374, p. 25-37.