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__NOTOC__ | __NOTOC__ | ||
{{ | {{BlueM.Opt_nav}} | ||
[[ | [[File:Simulation-based-optimization.png|thumb|Simulation-based optimization]] | ||
[[ | [[File:EVO Box screenshot.png|thumb|Screenshot]] | ||
== | [[File:Scatterplot screenshot.png|thumb|Scatterplot Matrix]] | ||
BlueM.Opt | ==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 [[BlueM.Opt output files|database]]. | |||
BlueM.Opt | 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): | |||
* '''[[BlueM.Sim]]''' | |||
* '''[[TALSIM|Talsim-NG]]''' | |||
* '''<del>[[SMUSI]]</del>''' (''currently not included [https://github.com/bluemodel/BlueM.Opt/issues/184 #184]'') | |||
* '''[[SWMM]]''' | |||
* '''[[Test problems]]''' | |||
* '''[[Traveling Salesman]]''' | |||
List of available methods (optimization algorithms): | |||
* '''[[PES]]''': Parametric Evolution Strategy | * '''[[PES]]''': Parametric Evolution Strategy | ||
* '''[[Hooke & Jeeves]]''': Hillclimbing Algorithm | |||
* '''[[MetaEvo]]''': multicritera, hybrid optimization algorithm | |||
* '''[[Hooke & Jeeves]]''': Hillclimbing | |||
* '''[[MetaEvo]]''': | |||
* '''[[DDS]]''': Dynamically Dimensioned Search | * '''[[DDS]]''': Dynamically Dimensioned Search | ||
other included methods are | |||
* '''[[SensiPlot]]''': | * '''[[SensiPlot]]''': Sensitivity analysis (no optimization) | ||
* '''[[TSP]]''' (only for [[Traveling Salesman]]) | |||
==Downloads== | ==Downloads== | ||
* [[BlueM.Opt | Download BlueM.Opt from GitHub: https://github.com/bluemodel/BlueM.Opt/releases/latest | ||
==Usage== | |||
* '''[[BlueM.Opt Usage]]''' | |||
** Documentation of the [[BlueM.Opt input files| input files]] | |||
** Documentation of the [[BlueM.Opt output files| output files]] | |||
== | ==Literature== | ||
* | * {{:Literatur:Muschalla 2006}} | ||
* | * {{:Literatur:Muschalla 2008}} | ||
* | * {{:Literatur:Muschalla et al. 2009}} | ||
* {{:Literatur:Kerber_2009}} | |||
* {{:Literatur:Froehlich & Hübner 2009}} | |||
== | ==Development== | ||
* | * [[BlueM.Opt Development]] | ||
** [[BlueM.Opt Begriffsklärung | | ** [[BlueM.Opt Begriffsklärung | Glossary]] | ||
** | ** Documentation of the [[BlueM.Opt Code|code]] | ||
== | ==Literature== | ||
<references/> | |||
[[ | [[Category:BlueM.Opt]] | ||
Latest revision as of 11:33, 11 February 2024
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):
- BlueM.Sim
- Talsim-NG
SMUSI(currently not included #184)- SWMM
- Test problems
- Traveling Salesman
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
- SensiPlot: Sensitivity analysis (no optimization)
- TSP (only for Traveling Salesman)
Downloads
Download BlueM.Opt from GitHub: https://github.com/bluemodel/BlueM.Opt/releases/latest
Usage
- BlueM.Opt Usage
- Documentation of the input files
- Documentation of the output files
Literature
- Muschalla (2006)[1]
- Muschalla (2008)[2]
- Muschalla et al. (2009)[3]
- Kerber (2009)[4]
- Froehlich & Hübner (2009)[5]
Development
Literature
- ↑ 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.
- ↑ 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
- ↑ 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
- International Stormwater and Urban Water Systems Modeling Conference, Toronto, Canada, February 19, 2009,
- ↑ Kerber, D. (2009): Entwicklung eines multi-kriteriellen, hybriden Optimierungsalgorithmus für den Einsatz in der Kanalnetzsteuerung , Diplomarbeit, TU Darmstadt
- ↑ Froehlich, F. & Hübner, C. (2009): Kopplung von Simulation und Optimierung - Eine Vorstellung von BlueM.Opt , 1. Darmstädter Ingenieurkongress - Bau und Umwelt, 14.-15.09.2009, Darmstadt