scholarly journals Multi-objective models for the forest harvest scheduling problem in a continuous-time framework

2022 ◽  
Vol 136 ◽  
pp. 102687
Author(s):  
José Mario González-González ◽  
Miguel Ernesto Vázquez-Méndez ◽  
Ulises Diéguez-Aranda
Keyword(s):  
Continuous Time ◽  
Scheduling Problem ◽  
Harvest Scheduling ◽  
Forest Harvest ◽  
Multi Objective

Optimal harvest scheduling at the forest level in the presence of the risk of fire

1986 ◽  
Vol 16 (2) ◽  
pp. 266-278 ◽  
Author(s):  
W. J. Reed ◽  
D. Errico
Keyword(s):  
Dynamic Equations ◽  
Scheduling Problem ◽  
Deterministic Approach ◽  
Harvest Scheduling ◽  
Forest Harvest ◽  
Timber Supply ◽  
Reasonable Approximation ◽  
Optimal Harvest ◽  
The Impact ◽  
Scheduling Models

The effect of fire on forest yields has been well documented in stand-level analyses; however, forest-level effects are less widely known. A set of dynamic equations can be constructed that describe the evolution of a forest under the impact of harvesting and random fire. When fire is treated in a deterministic fashion, these equations can be used to formulate an optimal harvest scheduling problem that can be solved using linear programming. Examples using white spruce data for the Fort Nelson Timber Supply Area of British Columbia show that even modest rates of fire can have a dramatic impact and that present harvest scheduling models may be considerably overestimating projected forest harvest levels. Results also show that the deterministic approach appears to be a reasonable approximation of the true stochastic fire problem.

A multi-objective Monte Carlo tree search for forest harvest scheduling

2020 ◽  
Vol 282 (3) ◽  
pp. 1115-1126 ◽  
Author(s):  
Teresa Neto ◽  
Miguel Constantino ◽  
Isabel Martins ◽  
João Pedro Pedroso
Keyword(s):  
Monte Carlo ◽  
Tree Search ◽  
Harvest Scheduling ◽  
Forest Harvest ◽  
Monte Carlo Tree Search ◽  
Multi Objective
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