Graduation date: 1984Harvest scheduling and stand level optimization have\ud generally been regarded as separable problems. Some\ud studies have attempted to jointly optimize a wide range of stand treatments and a forest wide harvest schedule using combinations of mathematical programming techniques. The mathematical programming forest level techniques presume perfect information on production, costs and revenues over long sequences of planning periods and simultaneously optimize harvest for all periods in the planning horizon using assumed perfect knowledge of intertemporal trade-offs. This study proceeds from a completely different behavioral basis, assuming that stand level planning and harvest scheduling proceed sequentially rather than...
Forest management problems with even-flow and adjacency considerations are difficult to solve optima...
To protect non-timber resources such as wildlife, water quality and aesthetics, harvesting regulat...
Graduation date: 2000Three heuristic techniques: simulated annealing (SA), tabu search (TS), and\ud ...
The key task for forest planner is it describe the expected production potentials of forest, and to ...
Unal, Murat Engin/0000-0002-7937-9468; Bettinger, Pete/0000-0002-5454-3970; Yesil, Ahmet/0000-0002-2...
In a globalized market, forest management plans play an important role in the sustainability of fore...
Forest planning at the landscape level has the potential to become a large intractable problem. In F...
Research ArticleFinding an optimal solution of forest management scheduling problems with even flow ...
In the states of Tabasco and Chiapas, Mexico there is a lack of long-term harvest scheduling models ...
ABSTRACT The aim of this study was to develop a mathematical model for the spatial forest planning ...
Forest harvest planning to maximize economic benefits also has to consider additional criteria such ...
A scheduling approach is described that can be applied to large timber management scheduling problem...
A number of approaches to forest management planning are surveyed and analysed. A unified treatment ...
The technique of linear programming (LP) is illustrated by developing a harvest schedule for an indu...
This paper presents a solution to the forest planning problem that takes advantage of both the duali...
Forest management problems with even-flow and adjacency considerations are difficult to solve optima...
To protect non-timber resources such as wildlife, water quality and aesthetics, harvesting regulat...
Graduation date: 2000Three heuristic techniques: simulated annealing (SA), tabu search (TS), and\ud ...
The key task for forest planner is it describe the expected production potentials of forest, and to ...
Unal, Murat Engin/0000-0002-7937-9468; Bettinger, Pete/0000-0002-5454-3970; Yesil, Ahmet/0000-0002-2...
In a globalized market, forest management plans play an important role in the sustainability of fore...
Forest planning at the landscape level has the potential to become a large intractable problem. In F...
Research ArticleFinding an optimal solution of forest management scheduling problems with even flow ...
In the states of Tabasco and Chiapas, Mexico there is a lack of long-term harvest scheduling models ...
ABSTRACT The aim of this study was to develop a mathematical model for the spatial forest planning ...
Forest harvest planning to maximize economic benefits also has to consider additional criteria such ...
A scheduling approach is described that can be applied to large timber management scheduling problem...
A number of approaches to forest management planning are surveyed and analysed. A unified treatment ...
The technique of linear programming (LP) is illustrated by developing a harvest schedule for an indu...
This paper presents a solution to the forest planning problem that takes advantage of both the duali...
Forest management problems with even-flow and adjacency considerations are difficult to solve optima...
To protect non-timber resources such as wildlife, water quality and aesthetics, harvesting regulat...
Graduation date: 2000Three heuristic techniques: simulated annealing (SA), tabu search (TS), and\ud ...