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基于改进遗传算法的森林树木栽植培育规划方法

Planning Method of Forest Tree Planting and Cultivation Based on Improved Genetic Algorithm
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摘要 为降低栽植培育规划区域内森林树木生存的竞争指数,为森林树木合理规划适宜的生长环境,引进改进遗传算法,设计一种针对森林树木栽植培育的规划方法。明确森林树木栽植培育规划的目标,设计对应的目标函数,设计约束条件,实现规划后地区生态环境发展效益的最大化;引进改进遗传算法,将森林树木栽植培育规划方面的问题转化为土地空间资源规划问题,通过算子的迭代,优化森林树木栽植培育空间编码;根据预设的最优函数,求解最优目标,建立森林树木栽植培育规划函数,实现对森林树木栽植培育规划工作的全面优化。通过实例应用证明,采用设计的规划方法,可以起到优化森林树木资源竞争指数的综合作用,为森林树木提供一个相对优化的生存条件。 In order to reduce the survival competition index of forest trees in the planting and cultivation planning area,and to reasonably plan a suitable growth environment for forest trees,an improved genetic algorithm is introduced to design a planning method for forest tree planting and cultivation.Define the objectives of forest tree planting and cultivation planning,design corresponding objective functions and design constraints to maximize the benefits of regional ecological environment development after planning;The improved genetic algorithm is introduced to transform the problems of forest tree planting and cultivation planning into the problems of land spatial resource planning.The spatial coding of forest tree planting and cultivation is optimized through the iteration of operators;According to the preset optimal function,the optimal objective is solved,and the forest tree planting and cultivation planning function is established to realize the overall optimization of the forest tree planting and cultivation planning.It is proved by practical application that the design planning method can play a comprehensive role in optimizing the competition index of forest tree resources and provide a relatively optimized living condition for forest trees.
作者 王梦薇 郑理敏 Wang Mengwei;Zheng Limin(Longquan Daotai Township Forestry workstation,Longquan 323700,Zhejiang,China;Jiangshan Shimen Town People's Government,Jiangshan 324100,Zhejiang,China)
出处 《林业科技情报》 2023年第3期7-9,共3页 Forestry Science and Technology Information
关键词 改进遗传算法 规划方法 栽植培育 森林树木 空间资源规划 Improved genetic algorithm planning method planting and cultivation forest trees spatial resource planning
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