Article ID Journal Published Year Pages File Type
721003 IFAC Proceedings Volumes 2007 6 Pages PDF
Abstract

The predictive integrated water quantity and quality yields better performance then different approaches. However, it requires solving a nonlinear, non-convex optimization problem. Therefore, a specialized optimization solver has to be used within designated time. In this paper a dedicated genetic algorithm specially designed in order to efficiently solve predictive optimization task is derived and the simulation results of the case study Gdynia drinking water distribution system are presented.

Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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