基于改进遗传算法的土地复垦规划空间优化  

Land Reclamation Program Space Optimization Based on Improved Genetic Algorithm

作　　者：陈亚凯[1] 王婷婷[1] 乔志勇[1] 刘东文[1] 

机构地区：[1]中国矿业大学(北京)土地复垦与生态重建研究所,北京100083

出　　处：《计算机仿真》2014年第8期452-455,共4页Computer Simulation

基　　金：国土资源部公益性科研行业专项项目(201111014-6)

摘　　要：土地复垦空间优化是对复垦区土地再利用类型进行数量配置和空间布局,是土地复垦的重要内容和主要方面。根据土地复垦空间优化问题的特性对传统遗传算法添加了小生境算法、自适应参数算法和倒位算法等改进算法,构建了土地复垦空间优化模型,并将遗传算法和GIS融合,增强了复垦土地空间结构优化的空间处理能力。以北京市门头沟区矿业废弃地复垦空间优化为例进行仿真,结果表明:改进的遗传算法更加准确高效,对空间布局的优化结果与门头沟区实际情况相符。Land reclamation space optimization is reasonable area assignment and space layout of each land reuse type in reclamation zone, is an important aspect of land reclamation. Based on the special characteristics of land rec- lamation space optimization problem, this study added some improved algorithms to traditional genetic algorithm, such as search space limited algorithms, niche algorithm and adaptive parameters algorithms, and integrated the ge- netic algorithm and GIS to enhance spatial processing capacity of reclamation space optimization. Taking land recla- mation of mining wasteland in Mentougou District for simulation example, the results show that, the improved genetic algorithm is more accurate and efficient than traditional genetic algorithm, and the spatial layout optimization result is consistent with the actual situation of Mentougou District.

关 键 词：改进遗传算法 土地复垦 空间优化 地理信息系统 仿真 

分 类 号：TD88[矿业工程—矿山开采]