Simulation-optimization model for fuzzy waste load allocation

  • Authors:

  • M. Saadat Pour;A. Afshar;O. Bozorg Haddad

  • Affiliations:

  • Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran;Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran;Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

  • Venue:
  • EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
  • Year:
  • 2005

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Abstract

A simulation-optimization model is developed for waste load allocation in a fuzzy optimization framework. The model provides the best compromise solution to the pollution dischargers and pollution control agencies. To deal with uncertainties due to randomness and vagueness of the goals and parameters, fuzzy sets with appropriate membership functions are introduced. The fuzzy waste load allocation model (FWLAM) incorporate QUAL2E as a Water Quality Simulation Model and GA (Genetic Algorithm) as an optimization tool to find the optimal fraction removal level to the dischargers and pollution control agency (PCA). The GA directs the decision variables in a real-value form to QUAL2E as an input file. QUAL2E simulates the decision variables and calculates the state variables. Penalty functions are employed to control the infeasible solutions. This fuzzy optimization model with genetic algorithm has been used for a hypothetical problem. Results demonstrate a very suitable convergence of proposed optimization algorithm to the global optima.