Application of multi‐objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks
Application of multi‐objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks
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DOI：
10.1111/jfr3.12143
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发表时间：
2017-09
影响因子：
4.1
通讯作者：
Jafar Yazdi;Jafar Yazdi;Ali Sadollah;E. Lee;D. Yoo;Joong Hoon Kim
中科院分区：
文献类型：
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作者：
Jafar Yazdi;Jafar Yazdi;Ali Sadollah;E. Lee;D. Yoo;Joong Hoon Kim
近几十年来，进化优化算法已成功地用于各种水资源工程问题，其应用仍在不断增加。在这项研究工作中，一个混合和声搜索算法，“非支配排序和声搜索”算法的开发和比较两个国家的最先进的多目标进化算法-非支配排序遗传算法（NSGA）-II和多目标粒子群优化算法（MOPSO）-分配污水管网的最佳修复计划。所考虑的算法进行了验证，使用一些标准的测试功能在文献中报道，并相互比较的几个指标。然后将这些算法与SWMM-EPA水力模型相关联，并将其应用于韩国首尔的雨水管道网络案例研究，以获得管道更换的最佳修复计划。结果表明，所考虑的算法在解决基准测试和康复问题时具有不同的行为。所提出的混合多目标和声搜索算法提供了更好的最优解在不同的指标，并明显优于其他两种算法的雨水管网的修复。
In recent decades, evolutionary optimisation algorithms have been used successfully for a wide variety of water resources engineering problems and their applications are still increasing. In this research work, a hybrid harmony search algorithm, ‘Non‐dominated Sorting Harmony Search’ algorithm is developed and compared with two state‐of‐the‐art multi‐objective evolutionary algorithms – the non‐dominated sorting genetic algorithm (NSGA)‐II and multi‐objective particle swarm optimisation (MOPSO) algorithms – for assigning optimal rehabilitation plans for sewer pipe networks. The algorithms considered were validated using some standard test functions reported in the literature and compared with each other in terms of several metrics. These algorithms were then linked to the SWMM‐EPA hydraulic model and applied to a storm sewer pipe network case study in Seoul, South Korea, to obtain the best rehabilitation plans for pipe replacements. The results showed that the algorithms considered have different behaviours in solving the benchmark tests and rehabilitation problem. The proposed hybrid multi‐objective harmony search algorithm provides better optimal solutions in terms of different metrics and clearly outperforms the other two algorithms for the rehabilitation of the storm sewer pipe networks.