Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36097

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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