Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/36097
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| Title: | Multi-objective Finite-Domain Constraint-Based Forest Management |
| Authors: | Eloy, Eduardo Bushenkov, Vladimir Abreu, Salvador |
| Editors: | Almeida, João Paulo Alvelos, Filipe Cerdeira, Jorge Moniz, Samuel Requejo, Cristina |
| Keywords: | Forest management Constraint programming Constraint modeling Multi-criteria optimization Pareto frontier |
| Issue Date: | 1-Dec-2023 |
| Publisher: | Springer Nature Switzerland AG |
| Citation: | E.Eloy, V.Bushenkov, S.Abreu Multi-objective Finite-Domain Constraint-Based Forest Management, Operational Research, Springer Proceedings in Mathematics & Statistics, v. 437, pp.75-88. |
| Abstract: | This paper describes an implementation of a Constraint Programming approach to the problem of multi-criteria forest management optimization. The goal is to decide when to harvest each forest unit while striving to optimize several criteria under spatial restrictions. With a large number of management units, the optimization problem becomes computationally intractable. We propose an approach for deriving a set of efficient solutions for the entire region. The proposed methodology was tested for Vale do Sousa region in the North of Portugal. |
| URI: | https://link.springer.com/chapter/10.1007/978-3-031-46439-3_6 http://hdl.handle.net/10174/36097 |
| ISBN: | 978-3-031-46438-6 |
| ISSN: | 2194-1009 |
| Type: | article |
| Appears in Collections: | CIMA - Artigos em Livros de Actas/Proceedings
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