Highlight: Surrogate Workflowsĭakota 6.14 features several surrogate model enhancements. See some benchmark results and additional details provided below.Įnabling / Accessing: The efficient_global method now admits batch size and parallel synchronization controls in the user input file.ĭocumentation: Refer to efficient_global method documentation in the Dakota 6.14 Reference Manual. Dakota now includes batch-parallel EGO capabilities, with support for blocking and non-blocking approaches and refinement candidate identification from a combination of acquisition and exploration. Highlight: Batch-parallel EGOĮfficient global optimization (EGO) is a popular choice for global optimization in Dakota, and users have often requested greater parallel concurrency to better balance the initial Gaussian process model construction and subsequent refinement. Sign up for dakota-announce to be notified. The Dakota project soon will make the Library available on the web. In source packages, they are in the dakota-examples folder. Please contact us through the dakota-users mailing list if you have something to add.Įnabling / Accessing: In Dakota binary packages, the Examples Library is located in the share/dakota/examples/official folder. The Dakota team welcomes community contributions to the Examples Library.
IDM VERSION 6.14 RELEASE DATE HOW TO
Each example is accompanied by a detailed README that includes a helpful description, how to run the example, additional resources, and other information. Tutorials, runnable Dakota studies, drivers, case studies, and more are available. The library includes many brand new and refreshed examples that demonstrate a broad range of tried-and-true and cutting-edge Dakota capabilities. Dakota is launching a new Examples Library with the 6.14 release.