With the ever-increasing dependence on software systems for the engineering design cycles and increasing heterogeneous networks, it becomes imperative to introduce new optimization solutions targeting increased efficiency, improving the access to existing files and results, and reduced computational costs. With Optimus 2023.2, users can achieve this, all while improving the quality and the performance of your designs. Here are the top three features that I believe will make a difference to our users.

Improving access:

With Optimus 2023.2, we have removed the need to have a physical installation of software interfaces on a local system. This simplifies the complex IT infrastructures by efficiently centralizing the installation processes of the interface software and the operations of the design engineering team. With this feature, the users can author simulation workflows by connecting to interfaces installed remote systems from anywhere. With Optimus 2023.2, users can not only run the solver/simulation tools in parallel on a remote machine, but also the interface functionality – that is access to input files or extraction of output files – can be accessed through a remote machine just with a click of a button.

Saving time and resources:

Optimus 2023.2 brings in two new optimizers – Multi-Fidelity Efficient Global Optimizer (MFEGO) and Multi-objective Lighthouse.

Modern engineering design processes are challenged by the need to incorporate data coming from different sources into unique and consistent predictive models. With the introduction of the new Multi-fidelity Efficient Global Optimizer (Multi-Fidelity EGO) in Optimus 2023.2, the users can achieve reduced simulation and analysis costs and simultaneously improve the final design quality. This optimizer will consider simulations with different fidelity levels, adaptively select the sampling location, and improve the accuracy of the optimization while reducing the computational costs (image below).

The Optimus 2023.2 release is introducing the integration of a new multi-objective Lighthouse algorithm, an easy, fast, and scalable multi-objective algorithm, to enhance the existing optimization capabilities of Optimus. In addition to high performance the user benefits from the convenience of an easy setup and the possibility to reuse existing results.

AI-powered surrogate modelling

Optimus 2023.2 extends the portfolio of interfaces to 3rd party tools with the introduction of a new interface to nvision, an AI-powered surrogate modelling tool by Noesis Solutions. With nvision, users can effortlessly train surrogate models with time-dependent -2D and -3D fields as inputs and output variables and perform real-time analysis by evaluating new data points on the model, enabling users to increase productivity by replacing time-consuming simulation cycles with efficient surrogate models. Optimus users can access to nvision models with the new update, allowing them to integrate real-time predictions into an Optimus workflow, and enabling them to save time and resources.

With over two decades of pioneering innovation, Noesis Solutions has gained global recognition as a leading digital engineering innovation partner for top-tier companies, driving designs with their cutting-edge optimization, collaboration, simulation data analytics, and AI-driven tools. Want to know more about the new feature in Optimus and how it can enable you to close the digital engineering gap in your organization? Please write to [email protected]