Efficient Specification and Solution of the Even-aged Rotation and Thinning Problem
Dynamic programming is frequently used for stand level optimization. In recent years, solution methods have been made available for a number of growth models. However, increasingly complex growth models require network specifications with high dimensionality and its associated high computational cost. This paper presents a more efficient solution algorithm that overcomes the computational burdens of the traditional dynamic programming approach. The algorithm is described using LaGrange multipliers and network theory. An illustrative example is presented, and the computational efficiency of the new method is demonstrated by comparing its performance with an existing dynamic programming algorithm. The scope of applicability of the proposed method is discussed as well as aspects requiring further analysis and research. For. Sci. 33(1):14-29.
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Document Type: Journal Article
Affiliations: Professor, Department of Forest Management, College of Forestry, Oregon State University
Publication date: 1987-03-01
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