Difference between revisions of "Controlling Engine Selection and Setting"
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<breadcrumbs> Analytica Optimizer Guide > {{PAGENAME}}</breadcrumbs><br /> | <breadcrumbs> Analytica Optimizer Guide > {{PAGENAME}}</breadcrumbs><br /> | ||
| − | Optimization engines can be controlled by changing certain internal settings. These settings are accessible through the optional | + | [[Selecting the Optimization Engine|Optimization engines]] can be controlled by changing certain internal settings. These settings are accessible through the optional «SettingName» and «SettingValue» parameters of [[DefineOptimization]](). It is sometimes useful to experiment with different settings if the engine is not performing as expected on a particular type of problem (see [[Specifying Settings]]). |
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| + | You may also want to try different engines using the optional «Engine» parameter of [[DefineOptimization]](). | ||
== See Also == | == See Also == | ||
| − | [ | + | * [[Selecting the Optimization Engine]] |
| + | * [[DefineOptimization]] | ||
| + | * [[Specifying Settings]] | ||
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<footer> Module 7: Embedding an NLP in a Dynamic Loop / {{PAGENAME}} / Optimizer Attribute Reference</footer> | <footer> Module 7: Embedding an NLP in a Dynamic Loop / {{PAGENAME}} / Optimizer Attribute Reference</footer> | ||
Revision as of 20:58, 31 March 2016
Optimization engines can be controlled by changing certain internal settings. These settings are accessible through the optional «SettingName» and «SettingValue» parameters of DefineOptimization(). It is sometimes useful to experiment with different settings if the engine is not performing as expected on a particular type of problem (see Specifying Settings).
You may also want to try different engines using the optional «Engine» parameter of DefineOptimization().
See Also
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