@inbook{3d2b399048a84174972e535895d0d9d8,
title = "Adaptive Optimization of Forest Management in a Stochastic World",
abstract = "Management decisions should be based on the sequentially revealed information concerning prices, growth, physical damages etc. Future flexibility is valuable in a stochastic world and should be optimized. Stochastic dynamic programming, stochastic scenario tree optimization, and optimization of adaptive control functions with stochastic simulation of the objective function are relevant alternatives.",
keywords = "Forest managements, Stochastic dynamic optimization, Forest managements, Stochastic dynamic optimization",
author = "Peter Lohmander",
year = "2007",
doi = "10.1007/978-0-387-71815-6\_28",
language = "English",
isbn = "978-0-387-71814-9",
series = "International Series in Operations Research and Management Science",
publisher = "Springer",
number = "99",
pages = "525--543",
booktitle = "Handbook of Operations Research in Natural Resources",
address = "Germany",
}