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Genetic Algorithms for Optimal Operation of Soil Aquifer Treatment systems

机译:遗传算法优化土壤含水层处理系统

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摘要

The genetic algorithm (GA) is a nonconventional search technique with is patterned after the biological processes of natural selection and evolution. It has the ability to search large and complex decision spaces and handle nonconvexities. In this paper, the genetic algorithm is investi- gated and applied to solve the optimal operation problem of soil aquifer treatment (SAT) systems. This problem involves finding optimal water application time and drying time which maximize infil- tration for a predetermined starting influent rate of waste water and subject to various physical and Operational constraints.
机译:遗传算法(GA)是一种非常规搜索技术,其方法是根据自然选择和进化的生物学过程进行模式化的。它具有搜索大型复杂决策空间并处理非凸性的能力。本文研究了遗传算法,并将其应用于解决土壤含水层处理(SAT)系统的最佳运行问题。这个问题涉及找到最佳的加水时间和干燥时间,以最佳的初始入水率使渗透最大化,并受到各种物理和操作限制。

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