Forest management scheme based on simulated annealing algorithm
DOI:
https://doi.org/10.54097/hset.v60i.10354Keywords:
Radius of influence,Simulated annealing algorithm, Preference factor weighting method.Abstract
Climate change is posing a great threat to human survival, and the technology to achieve carbon sequestration with forests is gaining attention which focuses on effective and balanced forest management.To measure the combined value of the forest, mathematical expressions for forest products, biodiversity,potential carbon sequestration, recreational and cultural uses are constructed separately. Then, using the preference factor weighting method, an expression for the radius of influence of the forest can be constructed from the above expressions. The forest is abstracted as a rectangular area, and the integrated value of the forest is reflected by drawing a circle with the impact point as the center and the impact radius as the radius. This is intuitive and transforms the problem of forest management plan into a layout problem.Using the simulated annealing algorithm to solve, the forest management plan is obtained.
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Zhang Peng. Exploration of forest resource conservation and management under the concept of sustainable development[J]. Southern Agriculture,2021,15(30):136-137.
Wang Qianwen, Jia Weiguo. A review of research on forest eco-efficiency compensation mechanism[J].China Forestry Economy,2021(06):121-125+144.
Dai Qilin, Zhang Chao, Shang Kelong et al. Rational annual cutting volume of forest management units based on FSOS. Journal of Zhejiang A & F University,2020,37(05):833-840.
GuJia junwei. Carbon sequestration ability research progress of forest carbon sinks and tree species [J]. Modern gardening, 2023 46(01) : 26-29.
Ma Haoran, Zhao Tianzhong. Progress and Prospects of Research on Forest Ecological Benefit Compensation[J]. Journal of Beijing Forestry University (Social Science Edition),2021,20(04):90-99.
Zhu Jianhua, Tian Yu, Li Qi, et al. Chinese forest ecosystem carbon sequestration present situation and the potential [J/OL]. Acta ecologica sinica, 2023 (9): 1-16
Jia T.L., Yu Ruozhou, Wang S.K., Qin Wen. Design and application research of simulated annealing algorithm for function optimum calculation[J]. Heilongjiang Science,2022,13(01):149-151.
Yu Huiling, Cui Shanshan, Chen Guangsheng, et al. A parallel simulated annealing algorithm is suitable for forest management variables [J]. Journal of fujian forestry science and technology, 2016 (01) : 110-115.
Sun Yunxia, Liu Zhaogang, Dong Lingbo. Forest space management planning based on simulated annealing algorithm reverse search [J]. Scientia Silvae Sinicae,2019,55(11):52-62.
Shen Kang, Yang Tingdong, Zhang Huaiqing et al. Multi-objective management based on simulated annealing algorithm of dynamic visual simulation [J]. Journal of research of the forestry science, 2020(03):99-106.
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