改进麻雀搜索算法在优化林分空间结构求解中的应用  

Improved Sparrow Search Algorithm in Optimizing Spatial Structure of Forest Stands

作　　者：周梓轩 杨德岭[1] 刘慧[1] Zhou Zixuan;Yang Deling;Liu Hui(Northeast Forestry University,Harbin 150040,P.R.China)

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2023年第11期68-73,共6页Journal of Northeast Forestry University

基　　金：黑龙江省应用技术开发与研究项目(GA19C006)。

摘　　要：为了解决传统群智能优化算法在林分空间结构优化问题求解效率低、易陷入局部最优的缺陷。以小兴安岭地区带岭林业局东方红林场为研究区,以麻雀搜索算法为基础,采用循环混沌映射法对种群进行初始化,使麻雀种群分布更加均匀;应用萤火虫扰动策略增加了算法的搜索范围,加快算法的收敛速度,提高算法的准确性,以样地的树木数据进行了仿真实验。结果表明:森林评价指数由2.35提高到2.93,改进麻雀搜索能够快速收敛在最优值附近,跳出局部极值,有效地提高了算法的准确率和稳定性。In order to solve the defects of traditional swarm intelligence optimization algorithm in the optimization problem of forest stand spatial structure with low solving efficiency and easy to fall into local optimum,taking the Dongfanghong Forest of Dailing Forestry Bureau in Xiaoxing’an Mountains as the research area,by using the sparrow search algorithm,the cyclic chaotic mapping method was used to initialize the population,so as to make the distribution of sparrow population more uniform.The application of firefly perturbation strategy increased the search range of the algorithm,speeded up the convergence speed of the algorithm,and improved the accuracy of the algorithm,and the simulation experiments were carried out by using the tree data from the sample plots.The results showed that,the forest evaluation index was increased from 2.35 to 2.93,and the improved sparrow search could quickly converge near the optimal value and jump out of the local extreme value,which effectively improved the accuracy and stability of the algorithm.

关 键 词：麻雀搜索算法 林分空间结构 循环混沌映射 两段式编码 萤火虫扰动策略 

分 类 号：S757.4[农业科学—森林经理学]