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基于多目标粒子群算法的土地优化配置——以兰州市七里河区为例 被引量:1

The Optimal Land Allocation Based on Multi-objective Particle Swarm Optimization Algorithm——The Case of Qilihe District in Lanzhou
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摘要 本文采用粒子群算法构建了土地利用优化配置模型,在分析了兰州市七里河区近19年来土地利用现状和景观格局的基础上,指出了土地利用过程中存在的特点,运用粒子群算法算法得出了兰州市七里河区2014年土地利用优化配置结果,并与2014年土地利用/覆盖分类结果进行了精度分析与景观格局分析,结果表明此算法有效的优化了七里河区土地。 In this paper,particle swarm optimization algorithm was applied to construct a land use allocation model.Based on the analysis of nearly 19 years' land use and landscape pattern on Qilihe District of Lanzhou,the characteristics of land use were pointed out,and the optimal allocation results of land use in Qilihe District in 2014 were obtained by adopting particle swarm optimization algorithm,and compared with the 2014 land use / cover classification results by applying accuracy analysis and landscape pattern analysis.The results showed that the algorithm effectively optimized the land use of Qilihe District.
出处 《农业网络信息》 2016年第3期34-39,共6页 Agriculture Network Information
基金 甘肃省自然科学基金(编号:1308RJZA263)
关键词 粒子群算法 土地 优化 particle swarm optimization land optimization
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参考文献3

  • 1Yimin Chen,Xia Li,Xiaoping Liu,Yilun Liu.An agent-based model for optimal land allocation (AgentLA) with a contiguity constraint. International Journal of Geographical Information Science . 2010
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二级参考文献9

  • 1张立亭,钟小威,祝国瑞,周世健,鲁铁定,官云兰.现阶段土地利用规划实践方法分析[J].中国人口·资源与环境,2001,11(S2):99-100. 被引量:6
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