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ZHANG Kun, XU Shi yuan, WANG Jun. Study on reserve site selection by simulated annealing algorithm: An example from the Great Blue Mountain World Heritage Area[J]. Journal of East China Normal University (Natural Sciences), 2010, (2): 1-8.
Citation:
ZHANG Kun, XU Shi yuan, WANG Jun. Study on reserve site selection by simulated annealing algorithm: An example from the Great Blue Mountain World Heritage Area[J]. Journal of East China Normal University (Natural Sciences), 2010, (2): 1-8.
ZHANG Kun, XU Shi yuan, WANG Jun. Study on reserve site selection by simulated annealing algorithm: An example from the Great Blue Mountain World Heritage Area[J]. Journal of East China Normal University (Natural Sciences), 2010, (2): 1-8.
Citation:
ZHANG Kun, XU Shi yuan, WANG Jun. Study on reserve site selection by simulated annealing algorithm: An example from the Great Blue Mountain World Heritage Area[J]. Journal of East China Normal University (Natural Sciences), 2010, (2): 1-8.
The reserve siteselection problem is how to minimize the cost of the reserve system while satisfying certain conservation goals. To solve this problem, simulated annealing algorithm is widely used. Take the Great Blue Mountain World Heritage Area (GBMWHA) as an example, this paper studied the distribution of myrtacea in the 100 kilometers buffer area of GBMWHA. The aim is focused on the compactness of the reserve system. We experimented variety parameters of the objective function，namely the boundary length modifier (BLM). The results show that, a more compact portfolio could be achieved at the expense of larger area. But the compact system has shorter boundary, thus is easier to manage.
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