| 1. | Title | ##plugins.generic.mcfnsReadingTools.titleLabel## | Optimal Parameter Settings for Solving Harvest Scheduling Models with Adjacency Constraints |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Phillip J. Manning; Northeast Land Management, LLC, USA; Estados Unidos |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Marc E McDill; The Pennsylvania State University, USA; Estados Unidos |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.keywords## | Harvest scheduling; adjacency constraints; forest management; area restriction models; unit restriction models |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.disciplines## | Operations Research; Biometrics |
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| 4. | Description | ##plugins.generic.mcfnsReadingTools.abstract## | Optimal parameter settings to improve the efficiency of solving harvest scheduling models with adjacency constraints were examined using Ilog’s Cplex® 11.2 optimizer tuning tool. A total of 160 randomly generated hypothetical forests were created with either 50 or 100 stands and four age-class distributions. Mixed integer programming problems were formulated in Model I form with four different adjacency constraint types, two Unit Restriction Model (URM) adjacency constraints (Pairwise and Maximal Clique) and two Area Restriction Model (ARM) formulations (Path and Generalized Management Unit). A total of 640 problem sets-where a set is a common forest size, age-class distribution, and adjacency constraint type-were tuned to determine optimal parameter settings and then were solved at both the default and optimal settings. In general, mean solution time was less for a given problem set using the optimal parameters compared to the default parameters. The results discussed provide a simple approach to decrease the solution time of solving mixed integer forest planning problems with adjacency constraints. |
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| 5. | Publisher | ##plugins.generic.mcfnsReadingTools.publisher## | Contemporary Journal Concept Press |
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| 6. | Contributor | ##plugins.generic.mcfnsReadingTools.contributors## | Penn State School of Forest Resources and the Pennsylvania Department of Conservation and Natural Resources Bureau of Forestry |
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| 7. | Date | ##plugins.generic.mcfnsReadingTools.date## | 2012-02-28 |
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| 8. | Type | ##plugins.generic.mcfnsReadingTools.type## | Text.Serial.Journal |
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| 9. | Format | ##plugins.generic.mcfnsReadingTools.format## | PDF (inglés); application/pdf |
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| 10. | Identifier | ##plugins.generic.mcfnsReadingTools.identifier## | https://mcfns.com/index.php/Journal/es/article/view/4.3 |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.source## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol. 4 Núm. 1: MCFNS February 28, 2012; 16-26 (11) |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.onlineIssn## | 1946-7664 |
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| 12. | Language | ##plugins.generic.mcfnsReadingTools.language## | en |
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| 13. | Relation | ##plugins.generic.mcfnsReadingTools.suppFiles## | |
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| 14. | Coverage | ##plugins.generic.mcfnsReadingTools.coverageGeo## | |
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| 15. | Rights | ##plugins.generic.mcfnsReadingTools.rights## | |
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