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EVO.png BlueM.Opt | Usage | Development

Simulation-based optimization
Scatterplot Matrix


BlueM.Opt is an optimization framework that can be coupled with an arbitrary simulation software (only current requirement: input data and results are to be stored in ASCII format). The optimization parameters, objective functions and (optionally) contraints can be defined in a flexible manner.

Optimization results are stored in a database.

BlueM.Opt integrates a graphing feature for displaying the optimization progress and results. Optimization results can also be analyzed in detail.

Where possible, BlueM.Opt utilizes multithreading in order to evaluate multiple parameter sets simultaneously.

List of currently implemented applications (simulation models):

List of available methods (optimization algorithms):

  • PES: Parametric Evolution Strategy
  • Hooke & Jeeves: Hillclimbing Algorithm
  • MetaEvo: multicritera, hybrid optimization algorithm
  • DDS: Dynamically Dimensioned Search

other included methods are


Download BlueM.Opt from GitHub:



  • Muschalla (2006)[1]
  • Muschalla (2008)[2]
  • Muschalla et al. (2009)[3]
  • Kerber (2009)[4]
  • Froehlich & Hübner (2009)[5]



  1. Muschalla, Dirk (2006): Evolutionäre multikriterielle Optimierung komplexer wasserwirtschaftlicher Systeme. PhD thesis, Vol. 137/2006, Technische Universität Darmstadt, Mitteilungen des Instituts für Wasserbau und Wasserwirtschaft, Fachgebiet für Ingenieurhydrologie und Wasserbewirtschaftung.
  2. Muschalla, D. (2008): Optimization of integrated urban wastewater systems using multi-objective evolution strategies, Urban Water Journal, 5:1, 59-67, doi:10.1080/15730620701726309
  3. Muschalla, D., Froehlich, F., Heusch, S., Hübner, C., Kerber, D., Reußner, F. and Ostrowski, M. (2009): BlueM.Opt - a generic framework for simulation based optimization information.png - International Stormwater and Urban Water Systems Modeling Conference, Toronto, Canada, February 19, 2009,
  4. Kerber, D. (2009): Entwicklung eines multi-kriteriellen, hybriden Optimierungsalgorithmus für den Einsatz in der Kanalnetzsteuerung information.png, Diplomarbeit, TU Darmstadt
  5. Froehlich, F. & Hübner, C. (2009): Kopplung von Simulation und Optimierung - Eine Vorstellung von BlueM.Opt information.png, 1. Darmstädter Ingenieurkongress - Bau und Umwelt, 14.-15.09.2009, Darmstadt