基于多智能体遗传算法的土地利用优化配置

被引:72
作者
袁满 [1 ]
刘耀林 [1 ,2 ]
机构
[1] 武汉大学资源与环境科学学院
[2] 武汉大学地理信息系统教育部重点实验室
关键词
土地利用; 优化; 多智能体系统; 遗传算法; 可持续利用; 配置; 武汉市;
D O I
暂无
中图分类号
F301.2 [土地管理、规划及利用];
学科分类号
083306 ; 0903 ;
摘要
土地利用优化配置是促进土地资源可持续利用的必要手段,然而现有模型在解决土地利用优化配置问题时存在一定缺陷。该文将多智能体系统的建模框架与遗传算法的计算框架有机结合,设计了土地利用规划多智能体决策框架,将多智能体在空间决策行为与遗传进化算子相结合,构建基于多智能体遗传算法的土地利用优化配置模型,促进土地利用数量结构与空间布局向可持续方向发展。该文选取武汉市蔡甸区开展了实例应用研究,试验结果表明:模型能够合理地对区域土地利用数量结构与空间布局进行配置,协调不同土地利用决策主体的需求,明显提高了区域土地利用经济、社会和生态效益,促进区域土地资源可持续利用。
引用
收藏
页码:191 / 199
页数:9
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