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We compared genetic algorithms, simulated annealing and hill climbing algorithms on spatially constrained, integrated forest planning problems. There has been growing interest in algorithms that mimic natural processes, such as genetic algorithms and simulated annealing. These algorithms use random moves to generate new solutions, and employ a probabilistic acceptance/rejection criterion that allows...
This paper introduces several concepts which underlie the development of a spatially and temporally explicit forest ecosystem design model, forest simulation optimization system (FSOS). These concepts include: (1) two common landscape indicators - patch size and age class distributions - to quantify non-timber resource objectives; (2) dynamic cut block and patch building; (3) the integration of short-...
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