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A heuristic approach algorithm for the optimization of water distribution networks

机译:配水管网优化的启发式算法

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Many optimization models to determine cost-effectiveness and obtain the least-cost system designs for water distribution networks have been developed. An algorithm used for solving an optimization model, such as the branch-and-bound or enumeration method, has deficiencies that may include efficiency problems and local optimal solution problems. A heuristic approach, with a bounded implicit enumeration (BIE) algorithm was developed in this study to improve searching efficiency. The heuristic approach first treats the system as a sub-system so that the sub-system's solution must spread widely at the solution space. Then, the optimal sub-system solution is found by a BIE algorithm. On the basis of the optimal solution for the initial system, one larger than and one smaller than its commercial diameter is used to form a new system design. Finally, an optimal solution is determined by using the BIE algorithm until the same solution is found. In this study, five water distribution network designs were used to illustrate the performance of this approach. The results show that a heuristic approach is more efficient than the BIE alone. The efficiency becomes more obvious when the system becomes larger. Comparing the three case studies, the heuristic approach along with the BIE algorithm finds global optimal solution more efficiently.
机译:已经开发了许多优化模型来确定成本效益并获得用于配水管网的最低成本的系统设计。用于求解优化模型的算法(例如分支定界法或枚举法)具有一些缺陷,其中可能包括效率问题和局部最优解问题。本研究开发了一种启发式方法,该方法采用有限隐式枚举(BIE)算法来提高搜索效率。启发式方法首先将系统视为子系统,因此子系统的解决方案必须在解决方案空间广泛传播。然后,通过BIE算法找到最佳子系统解决方案。在针对初始系统的最佳解决方案的基础上,使用比其商业直径大一号和小一号的直径来形成新的系统设计。最后,通过使用BIE算法确定最佳解决方案,直到找到相同的解决方案为止。在这项研究中,五个供水网络设计被用来说明这种方法的性能。结果表明,启发式方法比单独的BIE更有效。当系统变大时,效率变得更加明显。比较这三个案例研究,启发式方法和BIE算法可以更有效地找到全局最优解。

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