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Information Journal Paper

Title

DETERMINISTIC AND DYNAMIC OPTIMIZATION IN FOREST HARVESTING

Pages

  265-276

Abstract

 The optimal harvesting can be a function of the stocking volume, STUMPAGE PRICE, harvesting cost, and rate of interest in the capital market. This research was done to determine the optimal harvest decision. First, a GROWTH FUNCTION was estimated for Kheyrud Forest, North of Iran, then the STUMPAGE PRICE was estimated via an autoregressive model. The optimal harvest was computed based on annual growth and STUMPAGE PRICE functions. The optimal adaptive harvesting which maximizes the expected present value of all profits over time are made conditional on the latest available price and stock level information. In order to determine the optimal harvest level, the optimal harvest decisions were made via STOCHASTIC DYNAMIC PROGRAMMING,as well as with deterministic optimization method. The results show that if the STOCHASTIC DYNAMIC PROGRAMMING technique is used instead of deterministic optimization method, the expected present value will increase by more than 26% via optimal adaptive decisions.

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    APA: Copy

    MOHAMMADI LIMAEI, S.. (2009). DETERMINISTIC AND DYNAMIC OPTIMIZATION IN FOREST HARVESTING. IRANIAN JOURNAL OF FOREST, 1(3), 265-276. SID. https://sid.ir/paper/123154/en

    Vancouver: Copy

    MOHAMMADI LIMAEI S.. DETERMINISTIC AND DYNAMIC OPTIMIZATION IN FOREST HARVESTING. IRANIAN JOURNAL OF FOREST[Internet]. 2009;1(3):265-276. Available from: https://sid.ir/paper/123154/en

    IEEE: Copy

    S. MOHAMMADI LIMAEI, “DETERMINISTIC AND DYNAMIC OPTIMIZATION IN FOREST HARVESTING,” IRANIAN JOURNAL OF FOREST, vol. 1, no. 3, pp. 265–276, 2009, [Online]. Available: https://sid.ir/paper/123154/en

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