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An Iterated Local Search Algorithm for Water Distribution Network Design Optimization

机译:配水网设计优化的迭代局部搜索算法

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摘要

The optimal design of water distribution networks is a complex non-linear combinatorial optimization problem. It consists in finding the least-cost pipe configuration that satisfies hydraulic laws and customer requirements, using a limited set of available pipe types. In a previous paper (De Corte and Sorensen, Eur J Oper Res 228 (2013), 1-10), we have argued that state-of-the-art optimization algorithms proposed in this domain are unduly complicated and poorly tested. The main contribution of this article is a straightforward, fast, transparent, and effective iterated local search (ILS) algorithm that has at least equivalent performance when compared to the best approaches in the literature, but has a much simpler algorithmic structure. A full-factorial experiment is conducted to obtain the heuristic's best parameter settings. Contrary to existing algorithms, the ILS algorithm is additionally shown to perform well on a broad set of much more challenging HydroGen (De Corte and Sorensen, Water Resour Manage 28 (2014), 333-350) test instances.
机译:供水管网的优化设计是一个复杂的非线性组合优化问题。它包括使用一组有限的可用管道类型来找到满足水力法则和客户要求的成本最低的管道配置。在先前的论文中(De Corte and Sorensen,Eur J Oper Res 228(2013),1-10),我们认为在该领域提出的最先进的优化算法过分复杂且未经充分测试。本文的主要贡献是一种简单,快速,透明和有效的迭代局部搜索(ILS)算法,与文献中的最佳方法相比,该算法至少具有同等的性能,但算法结构要简单得多。进行全要素实验以获得启发式的最佳参数设置。与现有算法相反,ILS算法还被证明在一组更具挑战性的HydroGen(De Corte和Sorensen,Water Resour Manage 28(2014),333-350)测试实例上表现良好。

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