American Society of Civil Engineers


Wastewater System Optimisation Using Genetic Algorithms


by Marcel E. Boomgaard, (Witteveen+Bos, P.O. Box 233, 7400 AE, Deventer, the Netherlands E-mail: m.boomgaard@witbo.nl), Jeroen G. Langeveld, (Department of Sanitary Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA, Delft, the Netherlands E-mail: j.g.langeveld@citg.tudelft.nl), and François H. L. R. Clemens, (Department of Sanitary Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA, Delft, the Netherlands E-mail: f.h.l.r.clemens@citg.tudelft.nl)

pp. 788-796, (doi:  http://dx.doi.org/10.1061/40583(275)74)

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Conference Proceeding Paper
Part of: Urban Drainage Modeling
Abstract: The optimisation of complete wastewater systems receives more and more attention, since it has become clear that the current approach of optimising the subsystems of sewerage and wastewater treatment separately often results in sub-optimal solutions. This optimisation, however, shows to be very troublesome in practice due to its complexity. The complexity of a wastewater system optimisation problem is related to the many variables involved (multi-dimensional search) and to the optimisation goal, defined by an objective function. Optimisation with respect to multiple objectives, e.g. overall costs as well as environmental performance, is often suggested but increases the complexity. One of the optimisation or search techniques which is capable of dealing with such a complex surrounding is a genetic algorithm (GA). This paper discusses the potential of the use of genetic algorithms for optimisation of wastewater systems. The definition of the objective function and the characteristics of the GA, especially mutation probability, proved to be key-elements for a successful application of a GA for this type of problems. Finally, it is concluded that GAs are capable of solving the very complex optimisation problems related to improvement of total wastewater systems.


ASCE Subject Headings:
Computation
Netherlands
Optimization
Sewers
Urban areas
Wastewater management
Water treatment