Dissertation
Dissertation > Agricultural Sciences > Forestry > Forest management,forest measurement science, forest management > Forest Management > Forest planning, forest design

Application of Simulated Annealing Algorithm in Forest Management Planning of the Baihe Forestry Bureau

Author WangXinZuo
Tutor ZhaoXiuHai;LiuGuoLiang
School Beijing Forestry University
Course Ecology
Keywords Forest Sustainable Management Shirakawa Simulated annealing algorithm Decision Model
CLC S757.4
Type Master's thesis
Year 2007
Downloads 116
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Becoming the focus of attention implement sustainable management of forests , forest management work fully reflects the importance of sustainable forest management . To determine forest sustainable management , forest management decision model , to accurately describe forest management activities in the future , while predicted under its influence forest growth , harvesting and age structure information , this article will apply simulated annealing algorithm forest management planning . The algorithm is a new random search method , it is proposed in recent years , a suitable to solve large-scale combination optimization problem common and effective approximation algorithm . Compared with the previous approximation algorithms , simulated annealing algorithm has a simple description , the use of flexible , widely use , high operating efficiency and less bound by the initial conditions . Optimize performance of the algorithm is mainly related to the state generating function , the state accepted the function and temperature update function , as well as the the inner loop Standards and outer loop criteria , these aspects of the design will determine the simulated annealing algorithm fast convergence and robustness . In this paper, the Baihe Forestry Bureau in Jilin Province , for example , the simulated annealing algorithm is applied to the issue of forest management planning them . Use of 1987,1999 and 2000 White River Forest survey data in the existing forest growth model based on forest resources for local operating conditions , subject to logging restrictions on age and plaque area , with an annual output of timber production maximize the optimization objectives , based on simulated annealing algorithm to establish a reasonable computational model of forest management decisions . According to the results of computer simulation , planning analysis of deforestation , forest age structure trends of the next 200 years Baihe Forestry Bureau , efficient and accurate access to the forest management plan , from a long-term perspective , the forests meet the social, economic and environmental requirements premise under achieve sustainable state .

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