Linear Programming vs. Binary Search in Periodic Harvest Level Calculation
Abstract:Timber management planning by industrial firms and public agencies commonly involves the use of multiple rotation harvest scheduling models. Either a linear programming or a binary search approach is usually taken. Binary search models have the advantage of being able to process large amounts of inventory data and manipulate that data in unique ways, having a low cost per run, and providing comparable ease in finding a feasible solution. Linear programming models have the advantage of being able to consider alternative yield trajectories for the same acres at the same time, portraying unusual yield trajectories, constraining portions of the inventory, and ensuring that a maximum is found. Neither is uniformly superior to the other and which should be used depends on the situation. Forest Sci. 29:569-581.
Document Type: Journal Article
Affiliations: Associate Professor, Department of Forest Management, Oregon State University
Publication date: September 1, 1983
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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