An Univariate Allocation Algorithm for use in Forestry Problems
Abstract:A dynamic programming algorithm for the optimization of univariate allocation problems is illustrated with a hypothetical maximization problem. Both the quantity to be allocated and the number of recipient locations are finite. The algorithm requires the evaluation of only a fraction of the total number of possible allocation combinations.
Document Type: Journal Article
Affiliations: Associate Professor, Department of Industrial Engineering, Auburn University, Auburn, Ala. 36830
Publication date: 1968-06-01
More about this publication?
- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
2015 Impact Factor: 1.476
Ranking: 22 of 66 in forestry
Average time from submission to first decision: 39.6 days*
June 1, 2016 to Feb. 28, 2017
Also published by SAF:
Other SAF Publications
- Submit a Paper
- Membership Information
- Author Guidelines
- SAF Convention Abstracts
- Ingenta Connect is not responsible for the content or availability of external websites