尽管桌面计算能力的最新进展鼓励 小型供水设施利用简单的计算机模型，似乎有 在可用的和所需的桌面计算资源方面存在巨大差距 广泛使用先进的计算机模型。水的最优控制 本文介绍了配电系统和配电网模型的优化校准 有两个问题需要强大的计算能力。有 遗传算法在一些水资源领域的应用也越来越受到关注 资源工程问题。而遗传算法非常健壮，而且 在获得最优解时，它们的计算时间过长 需求一直是应用这项技术的严重障碍 大规模的现实问题。这个问题的一个解决方案是并行 在价格合理的个人电脑上实施遗传算法。这篇论文 报告了一项初步研究的结果，该研究实施了一项遗传算法 基于算法的个人计算机网络校准模型。包括34个参考文献、表格和图表。

Although recent advances in desktop computational power have encouraged even small water utilities to utilize simple computer models, there appears to be a significant gap in available and required desktop computational resources for the widespread utilization of advanced computer models. Optimal control of water distribution systems and optimal calibration of distribution network models are two problems where there is a need for significant computational power. There has also been a growing interest on the use of genetic algorithms for several water resources engineering problems. While genetic algorithms are very robust and powerful in obtaining optimal solutions, their excessive computational time requirement has been a serious hindrance in applying this technology for large-scale real-life problems. One solution to this problem is the parallel implementation of genetic algorithms on affordable personal computers. This paper reports the results of a preliminary study that implemented a genetic algorithm-based calibration model on a network of personal computers. Includes 34 references, table, figure.