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Noesis Optimus 10.19

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Noesis Optimus 10.19

Post by didi7789 on Sun Aug 13, 2017 7:20 am



OS: Windows | Language: English | Size: 386 MB
Optimus is the industry-leading Process Integration and Design Optimization (PIDO) software platform, bundling a powerful range of capabilities for Engineering Process Integration, Design Space Exploration, Engineering Optimization and Robustness & Reliability. These PIDO technologies help direct engineering simulations toward design candidates that outsmart competition while taking into account all relevant design constraints - effectively implementing an Objectives Driven Engineering process. Optimus users report design time savings averaging over 30%, while achieving 10% or more design performance improvements.

Noesis Solutions, the partner simulation innovation to manufacturers in automotive, aerospace, and other engineering-intense industries, announced that it has released Optimus 10.19. With Optimus 10.19, Noesis Solutions introduces a new global evolutionary algorithm: Covariance Matrix Adaptation Evolution Strategy (CMA-ES). It is perfectly suited for high-dimensional, non-linear functions, requiring only limited information to be entered up-front. The fast CMA-ES method efficiently deals with computationally intensive simulations such as CFD and FEA.

A vendor-neutral open platform

As an entirely vendor-neutral PIDO platform, Optimus provides an open architecture to communicate with any engineering software, including the capability to deal with any file syntax. Besides protecting the investments companies have made in legacy codes and models (safeguarding their future use within the organization), Optimus enables them to deploy an 'Engineer by Objectives' strategy irrespective of the engineering software that is actually being used

‚ÄčIndustry-proven technologies

Optimus' industry-proven, state-of-the-art design space exploration and engineering optimization methods are a critical enabler of a successful Objectives Driven Engineering process deployment. Its methods and technologies have clearly demonstrated the capability to successfully deal with diverse real-world applications - with implementations at various customers sites that include tens of licenses used on a daily basis.

Robust deployment

The robustness of Optimus' methods is equally important. Highly robust numerical optimization algorithms should not require excessive manual parameter specifications to start the process and perform the job successfully. This is where Optimus really excels. Using Optimus, engineering teams work with robust algorithms and are therefore far more efficient, benefiting from a shorter learning curve.

Effective decision support tools

Optimus' intuitive and flexible post-processing functions are needed to turn large engineering data sets into information that supports design decisions. Effective decision tools not only make it easier to eliminate non-influential design parameters and identify best design tradeoffs, but will also facilitate communication between engineering teams and management.

Whats New :

New interfaces for ANSYS Maxwell and RomaxDESIGNER

The new Optimus release reaches out to a growing engineering community through new software interfaces for ANSYS Maxwell and RomaxDESIGNER. Both new interfaces are built on Optimus' unique open architecture that makes it easy to communicate with any commercial, legacy or in-house engineering software. With a total of 35 interfaces to leading CAD/CAE solutions, Optimus frees design engineers from repetitive manual model changes and data processing during the execution of virtual experiments - tremendously saving time.

Optimus' new interface for ANSYS Maxwell also enables engineering teams to take advantage of ANSYS Maxwell's Distributed Solve Option (DSO), a productivity enhancement tool that accelerates sweeps of design variations by distributing virtual experiments across a network of processors. Thanks to its broad coverage of workflow parallelization technologies (including Optimus' lightweight queuing system, integration with 3rd party resource management systems and support of vendor-proprietary distributed computing solutions), Optimus enables engineering teams to take maximum advantage of all available computing resources - maximizing ROI on software & hardware investments.

Improved methods and single-click optimization

Optimus 10.19 also introduces a number of smart methods that further facilitate deployment of Design Space Exploration & Engineering Optimization practices. SOMBAS, a Self-Organizing Maps (SOM) based adaptive sampling method, can be used to search and find feasible design regions that identify a diverse set of engineering solutions. This method is attractive for engineering problems that depend on a high number of design parameters, especially if only a limited simulation budget is available.

With the new NAVIRUN 1-click optimizer, Optimus brings state-of-the-art optimization within reach of non-experts. NAVIRUN, or Noesis Advanced adVIser, makes the best possible use of Optimus' Design Space Exploration & Engineering Optimization methods. Only requiring the user to define the simulation budget, NAVIRUN uses Adaptive Design of Experiments (ADOE) to sample the design space and automatically select the most suitable gradient-based or evolutionary optimization method. Learning about the engineering problem while running, NAVIRUN tunes the algorithm's parameters and provides an optimal balance between Design Space Exploration and Exploitation.


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