Multiple solution harvest scheduling
Application of the Metropolis algorithm for forest harvest scheduling is extended by automating the relative weighting of objective function components. Previous applications of the Metropolis algorithm require the user to specify these weights, which demands substantial trial and err...
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Finnish Society of Forest Science
1999-01-01
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| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/657 |
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Article |
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doaj-35dc54d7cb1740b3a55acf90500aab992020-11-25T02:10:00ZengFinnish Society of Forest ScienceSilva Fennica2242-40751999-01-0133310.14214/sf.657Multiple solution harvest schedulingVan Deusen, Paul Application of the Metropolis algorithm for forest harvest scheduling is extended by automating the relative weighting of objective function components. Previous applications of the Metropolis algorithm require the user to specify these weights, which demands substantial trial and error in practice. This modification allows for general incorporation of objective function components that are either periodic or spatial in nature. A generic set of objective function components is developed to facilitate harvest scheduling for a wide range of problems. The resulting algorithm generates multiple feasible solutions rather than a single optimal solution.https://www.silvafennica.fi/article/657 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Van Deusen, Paul |
| spellingShingle |
Van Deusen, Paul Multiple solution harvest scheduling Silva Fennica |
| author_facet |
Van Deusen, Paul |
| author_sort |
Van Deusen, Paul |
| title |
Multiple solution harvest scheduling |
| title_short |
Multiple solution harvest scheduling |
| title_full |
Multiple solution harvest scheduling |
| title_fullStr |
Multiple solution harvest scheduling |
| title_full_unstemmed |
Multiple solution harvest scheduling |
| title_sort |
multiple solution harvest scheduling |
| publisher |
Finnish Society of Forest Science |
| series |
Silva Fennica |
| issn |
2242-4075 |
| publishDate |
1999-01-01 |
| description |
Application of the Metropolis algorithm for forest harvest scheduling is extended by automating the relative weighting of objective function components. Previous applications of the Metropolis algorithm require the user to specify these weights, which demands substantial trial and error in practice. This modification allows for general incorporation of objective function components that are either periodic or spatial in nature. A generic set of objective function components is developed to facilitate harvest scheduling for a wide range of problems. The resulting algorithm generates multiple feasible solutions rather than a single optimal solution. |
| url |
https://www.silvafennica.fi/article/657 |
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AT vandeusenpaul multiplesolutionharvestscheduling |
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