Analysis and evaluation of a wastewater treatment plant model by stochastic optimization

AbstractA stochastic optimization procedure, Integrated Controlled Random Search, is applied to evaluate the model of a wastewater treatment plant. Equation sequencing and design variable selection algorithms are used to solve the set of equality constraints in a simple manner, offering the right choice of design variables. Subsequently, the sensitivity of the objective function defined in terms of the total construction cost is tested with respect to the design variables selected. The results permit an interpretation of the model structure and allow the shortcomings to be removed before the optimization stage