BlueM.Opt: Difference between revisions

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* '''[[BlueM.Sim]]'''
* '''[[BlueM.Sim]]'''
* '''[[TALSIM|Talsim-NG]]'''
* '''[[TALSIM|Talsim-NG]]'''
* '''<del>[[SMUSI]]</del>''' (''currently not included #265'')
* '''<del>[[SMUSI]]</del>''' (''currently not included [https://github.com/bluemodel/BlueM.Opt/issues/184 #184]'')
* '''[[S::CAN]]'''
* '''[[SWMM]]'''
* '''[[SWMM]]'''
* '''[[Test problems]]'''
* '''[[Test problems]]'''
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==Downloads==
==Downloads==
* [[BlueM.Opt Downloads]]
Download BlueM.Opt from GitHub: https://github.com/bluemodel/BlueM.Opt/releases/latest


==Usage==
==Usage==
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==Development==
==Development==
* '''[[BlueM.Opt Development]]'''
* [[BlueM.Opt Development]]
** [[BlueM.Opt Begriffsklärung | Glossary]]
** [[BlueM.Opt Begriffsklärung | Glossary]]
** Documentation of the [[BlueM.Opt Code|code]]
** Documentation of the [[BlueM.Opt Code|code]]
** Bug tracking: [http://bugs.bluemodel.org/buglist.cgi?query_format=specific&order=priority+asc&bug_status=__open__&product=BlueM.Opt&content= Bugzilla]
** [[BlueM.Opt compilation |Compilation]]
==Internal==
* Documentation of the [[Intern:Bluem:Opt SVN | SVN Repository]]


==Literature==
==Literature==

Latest revision as of 10:33, 11 February 2024

EVO.png BlueM.Opt | Download | Usage | Development

Simulation-based optimization
Screenshot
Scatterplot Matrix

Description

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

Downloads

Download BlueM.Opt from GitHub: https://github.com/bluemodel/BlueM.Opt/releases/latest

Usage

Literature

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

Development

Literature

  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