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Title:Iskanje optimalnih gozdnogojitvenih strategij s pomočjo stohastičnega programiranja
Authors:ID Zadnik Stirn, Lidija (Author)
Files:.pdf PDF - Presentation file, download (834,91 KB)
MD5: 90C0BDE77B8A4DA00034B632EAB121EF
 
Language:Slovenian
Typology:1.01 - Original Scientific Article
Organization:Logo SciVie - Slovenian Forestry Institute
Abstract:Optimalno gojenje in izkoriščanje gozda z namenom, da so izpolnjena vsa zahtevana načela gospodarjenja z gozdom, je predstavljeno kot večfazni stohastični proces. Kot pomoč pri optimalnem upravljanju tega procesa je prikazan stohastičen model, ki temelji na teoriji diskretnega stohastičnega programiranja. V ospredje so kot kriterij gospodarjenja z gozdom postavljeni le merljivi outputi iz gozda. Drugi učinki gozda v našem modelu niso upoštevani. Na osnovi tako definiranega kriterija gospodarjenja je optimalna strategija določena z iteracijskim postopkom, podobnim Bellmanovemu principu optimalnosti.
Keywords:operacijsko raziskovanje, gozdarstvo, odločanje v gozdarstvu, večfazni stohastični proces, Bellmanov princip optimalnosti, gozdovi, strategija, gojitev
Year of publishing:1991
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:str.245-255
Numbering:Vol. 38
PID:20.500.12556/DiRROS-8009 New window
UDC:630*61
ISSN on article:0351-3114
COBISS.SI-ID:36034816 New window
Publication date in DiRROS:12.07.2017
Views:3230
Downloads:1217
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Record is a part of a journal

Title:Zbornik gozdarstva in lesarstva
Shortened title:Zb. gozd. lesar.
Publisher:Gozdarski inštitut Slovenije
ISSN:0351-3114
COBISS.SI-ID:6206978 New window

Secondary language

Language:English
Title:The use of stochastic programming for optimal decison making in forest management
Abstract:The forest, which has to be managed with the aim to achive the prescribed silvicultural, utilization and environmental goals, is presented as a multistage stochastic process. In order to develop and manage this process, a stochastic model is described. The model is based on the theory of discrete stochastic programming. The objective is to maximize forest outputs which can be quantified. Although we are aware of many other forest benifits we did not include them in the objective function because of their intagibility. On the basis of so defined objective function, the optimal strategy is found by the use of an iterative method similar to Bellman's principle of optimality.
Keywords:operations research, forestry, decision making in forestry, multistage stochastic process, Bellman's principle of optimality


Collection

This document is a part of these collections:
  1. Acta Silvae et Ligni

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