An adaptive heuristic cross-entropy algorithm for optimal design of water distribution systems
An adaptive heuristic cross-entropy algorithm for optimal design of water distribution systems
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DOI：
10.1080/03052150601154671
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发表时间：
2007-05
影响因子：
2.7
通讯作者：
L. Perelman;A. Ostfeld
中科院分区：
文献类型：
--
作者：
L. Perelman;A. Ostfeld
配水系统的优化设计问题是找到配水系统的部件特性（例如，管道直径、泵压头和最大功率、水库存储量等）。其最小化系统的资本和操作成本，使得系统水力定律（即基尔霍夫第一定律和第二定律）得以维持，并且满足对消耗者节点处的量和压力的约束。本文提出了一种基于启发式交叉熵组合优化方法的自适应随机算法。该算法是证明使用两个著名的基准例子从水分配系统的研究文献中的单负载重力系统，和一个例子的多个负载，抽水，和存储。结果表明，交叉熵的优势，在以前公布的方法。
The optimal design problem of a water distribution system is to find the water distribution system component characteristics (e.g. pipe diameters, pump heads and maximum power, reservoir storage volumes, etc.) which minimize the system's capital and operational costs such that the system hydraulic laws are maintained (i.e. Kirchhoff's first and second laws), and constraints on quantities and pressures at the consumer nodes are fulfilled. In this study, an adaptive stochastic algorithm for water distribution systems optimal design based on the heuristic cross-entropy method for combinatorial optimization is presented. The algorithm is demonstrated using two well-known benchmark examples from the water distribution systems research literature for single loading gravitational systems, and an example of multiple loadings, pumping, and storage. The results show the cross-entropy dominance over previously published methods.