本文提出了一种通用的方法，即自适应搜索算法，通过该算法，供水企业可以以最低的成本优化运行水泵，以输送所需的水。自适应搜索算法将仿真模型、KY管道和搜索技术结合起来，以找到更经济的解决方案。该算法为可行的运行环境选择成本最低的泵组合，然后仿真模型求解每个泵出口的压力。然后重新计算泵的成本顺序，并选择经修订的最低成本泵组。优化模型和仿真模型之间的这种相互作用一直持续到改进可以忽略为止，通常只有三到四次迭代。 这种方法正在孟菲斯轻、气、水（MLGW）上进行测试，发现可以显著节约成本。它的优点是能够自动化并集成到SCADA系统中。

This paper presents a general method, the Adaptive Search Algorithm, by which a water supply utility can optimally operate their pumps to deliver the required water at least cost. The Adaptive Search Algorithm uses the combination of a simulation model, KY-Pipe, and search technique to find a more economic solution. The Algorithm selects the least-cost combination of pumps for a feasible operating environment and then the simulation model solves for the pressures at each pump outlet. The cost order of the pumps are then re-calculated and the revised set of least-cost pumps selected. This interaction between the optimization model and the simulation model is continued until the improvement is negligible, usually only three or four iterations. This approach is being tested on the Memphis Light, Gas, and Water (MLGW) and found to produce significant savings. It has the advantage of being able to be automated and integrated into a SCADA system.