Optimization Package
- It contains powerful local and global optimization algorithms to design a system according to your merit functions.
- Powerful post-processing tools will enable you to understand the development of merit function values during the optimization process.
Various Mathematical Optimization Algorithms
- The Nelder-Mead method (also known as Downhill-Simplex) - a fast and estiablished local optimization algorithm.
- The Differential Evolutionary Algorithm - a global optimization algorithm, which can be used in combination with the distributed computing technology.
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.
Use Cases
Use Case
Introduction to the VirtualLab Fusion Optimization Package
The Optimization Package is a dedicated optimization tool designed to complement VirtualLab Fusion as a powerful optical system optimization software...
Use Case
Optimization of Anti-Reflective Moth-Eye Structures
We investigate two strategies of an equidistant gridded moth-eye structure, evaluating their efficancy and outcomes in optimizing AR properties.