Visual Optimizer Integrates with VisualDOC

By DE Editors

Multistat Inc., (Irvine, CA) a provider of software and services, hasannounced the integration of its Visual Optimizer design optimizationand data visualization software with Vanderplaats Research andDevelopment’s (VRandD) VisualDOC general-purposedesign optimization tool. The integration follows a cooperationagreement between Multistat and VRandD.

The integration leverages a Multistat-developed plug-in thathas found wide use among Multistat users, who utilize it to integratetheir homebrewed optimization libraries to Visual Optimizer’s advancedmodel-building functionality, 2D/3D interactive graphics, and reportingtools as well as for database support as an IDE (Integrated DevelopmentEnvironment) for their own optimization algorithms. The plug-in interface now facilitates the integration of VisualDOCwith Multistat Visual Optimizer. This means that Multistat users can now useall of VisualDOC’s optimization and Design of Experiments (DOE)capabilities. Mathematical models and data can be seamlessly importedfrom VisualDOC, processed in the Multistat Visual Optimizerenvironment, and exported back into the VisualDOC database, for example.

Additionally, Multistat users can now exploit VisualDOC’s comprehensive library of gradient andnon-gradient optimization algorithms. These algorithms are considered to be highlyefficient for high-dimensional optimization tasks with up to thousandsof design variables.

Multistat’s Visual Optimizer provides visualization and analysis ofanalytical and numerical models via the patented Visualization forMultidimensional Functions by Projections (VMFP) method. It solvesmulti-objective optimization problems using TERM (The Exclusion ofRegions Method). VisualDOC users will be able to use these methods aswell as such capabilities as Visual Optimizer’s IDE and enhanced reporting tools.

Scientists and engineers, particularly those in the in aerospace,defense, automotive, structural optimization industries and materialsscience research, use Visual Optimizer to solve optimizationtasks, such as multidisciplinary optimization. It is also widely usedto develop, analyze, and simulate novel compounds and processes,organize scientific data, and share information.

Among its tools are those for generating and post-processing Paretosand for the seamless handling of both continuous and discretevariables. Visual Optimizer supports algebraic, polynomial, neuralnetworks, and MATLAB models, as well as models in the form ofstandalone programs and COM-objects.

For more information and an evaluation copy of the Visual Optimizer, go to the Multistat website.