Adaptive Optimization of Forest Management in a Stochastic World

Sammanfattning

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.

Nyckelord

Forest managements; Stochastic dynamic optimization

Publicerad i

International Series in Operations Research and Management Science
2007, nummer: 99, sidor: 525-543
Titel: Handbook of Operations Research in Natural Resources
Utgivare: Springer

SLU författare

• Lohmander, Peter

  • Institutionen för skogsekonomi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Ekonomi och näringsliv
Samhällsvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.1007/978-0-387-71815-6_28
• ISBN: 978-0-387-71814-9
• eISBN: 978-0-387-71815-6

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/16146