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机译:应用蚁群算法识别特大城市的生态安全格局
Peking Univ, Minist Educ, Lab Earth Surface Proc, Coll Urban & Environm Sci, Beijing 100871, Peoples R China|Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China;
Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China;
Peking Univ, Minist Educ, Lab Earth Surface Proc, Coll Urban & Environm Sci, Beijing 100871, Peoples R China;
Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China;
Cranfield Univ, Sch Water Energy & Environm, Bedford MK43 0AL, England;
Peking Univ, Minist Educ, Lab Earth Surface Proc, Coll Urban & Environm Sci, Beijing 100871, Peoples R China;
Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China;
Ant colony algorithm; Kernel density estimation; Range of ecological corridors; Ecological restoration points; Ecological security patterns; Urban planning;
机译:应用蚁群算法识别Megacities中的生态安全模式
机译:将蚁群优化算法应用于演示的高级行为学习和再现
机译:德黑兰公交网络中的多峰K最短可行路径问题及其蚁群和模拟退火算法的求解
机译:迈向交互式机器学习(iML):应用蚁群算法通过环内方法解决旅行商问题
机译:应用蚁群优化(ACO)元启发式方法解决有侧约束的森林运输计划问题
机译:epiACO-一种基于蚁群优化算法的上皮性识别方法
机译:基于蚂蚁算法的岩溶地区生态安全模式结构