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Analyzing Cliques for Imposing Adjacency Restrictions in Forest Models

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Adjacency considerations have a significant impact on the acceptability of forest planning alternatives and have forced analysts to look for effective methods for incorporating such concerns. Various attempts have been suggested for representing adjacency restrictions within planning problem formulations. This paper investigates the use of cliques for representing adjacency conditions. Several approaches are presented for generating and incorporating cliques into operational level forest planning formulations. Properties of the various clique sets are detailed, which form a basis for understanding why certain clique sets outperform others. A number of forest planning problems are solved, demonstrating the superior performance of the clique approach presented in this paper. This work has broad implications on the types of planning problems that can be effectively modeled. For. Sci. 42(2):166-175.
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Keywords: Operational planning; integer programming

Document Type: Journal Article

Affiliations: Analysis and the Department of Geography, University of California at Santa Barbara, Santa Barbara, CA 93106 (805) 893-4217

Publication date: 1996-05-01

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    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
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