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Multiobjective Programming for Generating Alternatives: A Multiple-Use Planning Example

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This paper describes two related issues pertaining to the role of multiple objective programming (MOP) in complex forest planning problems. First, some implications of using inadequate MOP models in complex forest planning problems are described. Second, an alternative MOP approach--modeling to generate alternatives--is presented and illustrated using a multiple-use planning example. For. Sci. 33(2):458-468.

Keywords: Forest planning; goal programming; incomplete models; linear programming; nondominated solutions

Document Type: Journal Article

Affiliations: Assistant Professor, Department of Forestry, University of Illinois at Urbana-Champaign, Urbana, IL 61801

Publication date: June 1, 1987

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.
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