Application of Simulated Annealing Algorithm in Forest Management Planning of the Baihe Forestry Bureau |
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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 |
Quotes | 1 |
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 .