Stochastic optimization models in forest planning: a progressive hedging solution approach

Fernando Veliz, Jean-Paul Watson, Andres Weintraub, Roger Wets and David Woodruff ()

Annals of Operations Research, 2015, vol. 232, issue 1, 259-274

Abstract: We consider the important problem of medium term forest planning with an integrated approach considering both harvesting and road construction decisions in the presence of uncertainty modeled as a multi-stage problem. We give strengthening methods that enable the solution of problems with many more scenarios than previously reported in the literature. Furthermore, we demonstrate that a scenario-based decomposition method (Progressive Hedging) is competitive with direct solution of the extensive form, even on a serial computer. Computational results based on a real-world example are presented. Copyright Springer Science+Business Media New York 2015

Keywords: Forestry; Forest harvest planning; Progressive hedging; Stochastic programming (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10479-014-1608-4

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