Harvest scheduling with spatial constraints: a simulated annealing approach
1993
Lockwood, C. | Moore, T.
Simulated annealing is a stochastic approach to solving large combinatorial problems. This approach was used to model a harvest scheduling problem having block size constraints (no limit, 100-200, and 200-400 ha), a 20-year adjacency delay, and objectives to meet harvest volume targets on the minimum area possible. Spatially explicit harvest schedules complying with the constraints were successfully generated on test data sets of 6148 and 27 548 forest stands.
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书目信息
出版者
American Chemical Society
语言
英语
注释
Summary in french.
类型
Journal Article; Text
2024-02-27
MODS