Management of the risk of wind damage in forestry: a graph-based Markov decision process approach

Author:

Forsell Nicklas,Wikström Peder,Garcia Frédérick,Sabbadin Régis,Blennow Kristina,Eriksson Ljusk Ola

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference36 articles.

1. Blennow, K., & Sallnäs, O. (2004). WINDA – a system of models for assessing the probability of wind damage to forest stands within a landscape. Ecological Modelling, 175, 87–99.

2. Boychuk, D., & Martell, D. L. (1996). A multistage stochastic programming model for sustainable forest-level timber supply under risk of fire. Forest Science, 42(1), 10–26.

3. Chornei, R. K., Daduna, H., & Knopov, P. S. (2006). Control of spatially structured random processes and random fields with applications. Berlin: Springer.

4. Falcão, A. O., & Borges, J. G. (2002). Combining random and systematic search heuristic procedures for solving spatially constrained forest management scheduling problems. Forest Science, 48(3), 608–621.

5. Forsell, N., & Sabbadin, R. (2006). Approximate linear-programming algorithms for graph-based Markov decision processes. In: Proceedings of 17th European Conference on Artificial Intelligence, Riva Del Garda, Italy, pp. 590–594.

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