Skip to main content

Notes: A Comparison of Dynamic Programming and A* in Optimal Forest Stand Management

Buy Article:

$21.50 plus tax (Refund Policy)

A model that adds a forward value estimator to traditional forward recursion dynamic programming (DP) is developed. State classes are used to store continuous values for stand basal area and stem density. A simple forward heuristic that estimates future value from deviations within a node is used in the model in combination with accumulated value to determine path choice (A*). A loblolly pine growth and yield model with both pulpwood and sawtimber product outputs is used in the model. The model is tested on combinations of initial planting density, site index, and interest rates to compare A* to DP in optimization of thinning age, thinning intensity, and rotation age. Results from tests using single-year stage intervals show increases of 0.0% to 1.2% in net present value for A* compared to DP. An A* approach increases computer program size very little but requires additional time for parameter searching. However, A* always generated solutions at least as high as DP. For. Sci. 42(4):498-503.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: A-asterisk; dynamic programming; forest economics; heuristic-search; tree search

Document Type: Miscellaneous

Affiliations: Department of Forestry, University of Kentucky, Lexington, KY 40546-0073

Publication date: 1996-11-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more