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[1]骆乾坤，吴剑锋，2011. 水文地质参数识别的快速和谐搜索算法. 水文地质与工程地质38（4）：14-19.
[2]Luo, Q., Wu, Jianfeng, Sun, X., Yang, Y., Wu, Jichun, 2012. Optimal design of groundwater remediation systems using a multi-objective fast harmony search algorithm. Hydrogeol. J. 20, 1497–1510.
[3]骆乾坤, 吴剑锋, 林锦, 祝晓彬, 吴吉春, 2013. 地下水污染监测网多目标优化设计模型及进化求解. 水文地质工程地质 40, 97–103.
[4]Luo, Q., Wu, Jianfeng, Yang, Y., Qian, J., Wu, Jichun, 2014. Optimal design of groundwater remediation system using a probabilistic multi-objective fast harmony search algorithm under uncertainty. J. Hydrol. 519, 3305–3315.
[5]骆乾坤, 吴剑锋, 杨运, 钱家忠, 2015a. 参数空间变异性下地下水污染监测网多目标优化机制研究. 地质论评 61, 570–578.
[6]骆乾坤, 吴剑锋, 杨运, 钱家忠, 2015b. 渗透系数空间变异程度对进化算法优化结果影响评价. 南京大学学报(自然科学) 51, 60–66.
[7]Luo, Q., Wu, Jianfeng, Yang, Y., Qian, J., Wu, Jichun, 2016. Multi-objective optimization of long-term groundwater monitoring network design using a probabilistic Pareto genetic algorithm under uncertainty. J. Hydrol. 534, 352–363.
[8]杨运, 吴吉春, 骆乾坤, 吴剑锋, 2016. DREAM算法分析地下水数值模拟不确定性的影响因素. 地质论评 62, 353–361.
[9]骆乾坤, 吴剑锋, 杨运, 吴吉春, 马淑芬, 2016. 基于DREAM算法的含水层渗透系数空间变异特征识别. 南京大学学报(自然科学) 52, 448–455.
[10]Yang, Y., Luo, Q., Ye, G., 2018. Optimization of water allocation system at the river basins, in: 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). pp. 482–488.
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