Mathematical Optimization Algorithms:

• Nelder-Mead Method
  This Method is also known as Downhill-Simplex and is a fast and estiablished local optimization algorithm.
   
• Differential Evolutionary Algorithm
  A global optimization algorithm, which can be used in combination with the distributed computing technology provided by VirtualLab Fusion.

Familiar Workflow

Using the same user interface, users of VirtualLab Fusions will become easily familiar with the controls for the configuration.

Optimization Process

The new package includes advanced options for defining and specifying merit functions. The merit function are available predefined or can be even specified using a built-in formula editor.

Post Processing

The Optimization Package also supports various post-process options, such as the calculation of pareto-fronts.

The Optimization Package for VirtualLab Fusion provides a comprehensive set of local and global optimization algorithms, enabling precise system design tailored to specific merit functions. Its intuitive and user-friendly interface ensures a smooth workflow, allowing users to efficiently configure and manage the optimization process.

Leveraging the familiar VirtualLab Fusion workflow, existing users will easily adapt to the new controls for optimization configuration. The package introduces advanced options for defining and specifying merit functions, which can either be selected from predefined sets or customized using the built-in formular-editor.

Furthermore, powerful post-processing tools provide valuable insights into the evolution of merit function values during optimization. The package also includes advanced post-processing capabilities, such as the calculation of Pareto fronts, allowing for in-depth analysis and informed decision-making.