Optimising Forest Management Using Multi-Objective Genetic Algorithms

Forest management requires balancing ecological, economic, and social objectives, often involving complex optimisation problems. Traditional mathematical methods struggle with these challenges, leading to the adoption of metaheuristic approaches like the Non-Dominated Sorting Genetic Algorithm II (N...

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Bibliographic Details
Published in:	Sustainability Vol. 16; no. 23; p. 10655
Main Authors:	Castro, Isabel, Salas-González, Raúl, Fidalgo, Beatriz, Farinha, José Torres, Mendes, Mateus
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2024
Subjects:	Adaptation Climate change Forest management Forest products Genetic algorithms Harvest Landowners Learning Mathematical optimization Methods Multiple criteria decision making Objectives Pareto optimum Planning Sustainability Timber Wood Portugal
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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