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首页> 外文期刊>Journal of Hydroinformatics >A hybrid cuckoo-harmony search algorithm for optimal design of water distribution systems
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A hybrid cuckoo-harmony search algorithm for optimal design of water distribution systems

机译：配布杜鹃和谐搜索算法的供水系统优化设计

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摘要

Meta-heuristic algorithms have been broadly used to deal with a range of water resources optimization problems over the past decades. One issue that exists in the use of these algorithms is the requirement of large computational resources, especially when handling real-world problems. To overcome this challenge, this paper develops a hybrid optimization method, the so-called CSHS, in which a cuckoo search (CS) algorithm is combined with a harmony search (HS) scheme. Within this hybrid framework, the CS is employed to find the promising regions of the search space within the initial explorative stages of the search, followed by a thorough exploitation phase using the combined CS and HS algorithms. The utility of the proposed CSHS is demonstrated using four water distribution system design problems with increased scales and complexity. The obtained results reveal that the CSHS method outperforms the standard CS, as well as the majority of other meta-heuristics that have previously been applied to the case studies investigated, in terms of efficiently seeking optimal solutions. Furthermore, the CSHS has two control parameters that need to be fine-tuned compared to many other algorithms, which is appealing for its practical application as an extensive parameter-calibration process is typically computationally very demanding.
机译：在过去的几十年中，元启发式算法已广泛用于处理一系列水资源优化问题。使用这些算法存在的一个问题是需要大量的计算资源，尤其是在处理现实问题时。为了克服这一挑战，本文开发了一种混合优化方法，即所谓的CSHS，其中将杜鹃搜索（CS）算法与和声搜索（HS）方案相结合。在此混合框架内，CS被用来在搜索的初始探索阶段内找到搜索空间的有希望的区域，然后是使用CS和HS组合算法的彻底开发阶段。提出的CSHS的实用性通过使用四个水分配系统设计问题得到了证明，这些问题的规模和复杂性都在增加。获得的结果表明，就有效寻求最佳解决方案而言，CSHS方法优于标准CS以及先前已应用于案例研究的大多数其他元启发式方法。此外，与许多其他算法相比，CSHS具有两个需要微调的控制参数，这对它的实际应用具有吸引力，因为广泛的参数校准过程通常对计算要求很高。

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