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基于可扩展多目标蚁群算法的土地利用优化配置 |
莫致良1,2, 杜震洪1,2, 张丰1,2, 刘仁义1,2 |
1. 浙江大学 浙江省资源与环境信息系统重点实验室, 浙江 杭州 310028; 2. 浙江大学 地理信息科学研究所, 浙江 杭州 310027 |
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Landuse optimizing allocation based on extensible multi-objective ant colony algorithm |
MO Zhiliang1,2, DU Zhenhong1,2, ZHANG Feng1,2, LIU Renyi1,2 |
1. Zhejiang Provincial Key Lab of GIS, Zhejiang University, Hangzhou 310028, China; 2. Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China |
引用本文:
莫致良, 杜震洪, 张丰, 刘仁义. 基于可扩展多目标蚁群算法的土地利用优化配置[J]. 浙江大学学报(理学版), 2017, 44(6): 649-659,674.
MO Zhiliang, DU Zhenhong, ZHANG Feng, LIU Renyi. Landuse optimizing allocation based on extensible multi-objective ant colony algorithm. Journal of Zhejiang University (Science Edition), 2017, 44(6): 649-659,674.
链接本文:
https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2017.06.003
或
https://www.zjujournals.com/sci/CN/Y2017/V44/I6/649
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