by OmniQuest Team | Mar 15, 2023 | ILIAD
As we all know, optimization is an iterative process in which the underlying analysis is run multiple times before the process converges to an optimal solution. Depending on the time required for each analysis run, this process could be a few seconds or hours long....
by OmniQuest Team | Jun 8, 2022 | ILIAD
When designing a digital or physical experiment with several variables (or more) it can be difficult to choose parameter value combinations that faithfully capture the design space. The distribution of design points can radically alter our perception of the behavior a...
by OmniQuest Team | Apr 27, 2022 | ILIAD
Last week we discussed the concept of multi-start optimization and a simple and effective ILIAD workflow for implementing a multi-start optimization to find the global maximum of a surface. This week we will use ILIAD’s toolkit to look deeper into the strengths and...
by OmniQuest Team | Apr 19, 2022 | ILIAD
By seeking maximum improvement with each iteration, gradient-based optimization algorithms almost always offer design improvement faster than their non-gradient-based (genetic algorithms, simulated annealing, particle swarm, etc.) counterparts for continuous design...
by 5dmin | Mar 8, 2022 | ILIAD
The modern engineering design process commonly involves numerous commercial and in-house analysis programs. In order to accommodate custom codes and software without dedicated interfaces, ILIAD offers the Executable and File I/O components, which allow users to add...
by 5dmin | Mar 2, 2022 | ILIAD
In previous articles, you have seen how Iliad captures all the different components of a design process onto a single digital platform. In this week’s article, we look at how easy it is to integrate the different scripts and analysis inside Iliad workflows using our...
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