Critical Assessment and Optimization of BNR Activated Sludge Systems Using a Genetic Algorithm Search Engine: Integration of Steady-State-Flow, Parameter-Variation, and Dynamic-Flow Conditions into System Design
The increasing ability to model the processes in biological wastewater treatment has led to a significant increase in the design process for these types of systems. The design space may include both process and control elements and require the designer to navigate through an exceedingly large number of alternatives to reach valuable alternatives. The integration of a genetic algorithm to guide the design search is explored and a case study for the design of a single-sludge nitrification-denitrification biological wastewater treatment system is presented in this work. The ability to include both the needs and the wants of the designer are demonstrated through the design of a proper fitness function. The exploitation of constraints by the genetic algorithm is also noted.
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Document Type: Research Article
Publication date: 2001-01-01
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