Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study
Environmental Modelling & Software
Environmental Modelling & Software
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Multi-objective calibration and fuzzy preference selection of a distributed hydrological model
Environmental Modelling & Software
Environmental Modelling & Software
Assessment of data availability influence on integrated urban drainage modelling uncertainty
Environmental Modelling & Software
IEEE Transactions on Information Technology in Biomedicine
Supporting decision making in urban wastewater systems using a knowledge-based approach
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Position Paper: A general framework for Dynamic Emulation Modelling in environmental problems
Environmental Modelling & Software
Review: A critical review of integrated urban water modelling - Urban drainage and beyond
Environmental Modelling & Software
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Integrated modelling of the urban wastewater system has received increasing attention in recent years and it has been clearly demonstrated, at least at a theoretical level, that system performance can be enhanced through optimized, integrated control. However, most research to date has focused on simple, single objective control. This paper proposes consideration of multiple objectives to more readily tackle complex real world situations. The water quality indicators of the receiving water are considered as control objectives directly, rather than by reference to surrogate criteria in the sewer system or treatment plant. A powerful multi-objective optimization genetic algorithm, NSGA II, is used to derive the Pareto optimal solutions, which can illustrate the whole trade-off relationships between objectives. A case study is used to demonstrate the benefits of multiple objective control and a significant improvement in each of the objectives can be observed in comparison with a conventional base case scenario. The simulation results also show the effectiveness of NSGA II for the integrated urban wastewater system despite its complexity.