IGAOD is an open source interactive genetic algorithm design framework that provides the basic IGA process framework and genetic libraries, including selection, crossover, and mutation operators, to help researchers follow the IGA build process. It provides 3D visualization instances to help users quickly build IGA instances, and provides an algorithm parameter and operator adjustment interface to help them optimize the algorithm.

1. Parameter Setting Function
2. Interface for individual interaction
3. Genetic operator library
4. Examples of vase modeling design
5. Examples of plate pattern design
6. The data collection
7. Research results and analysis

Documentation：https://hdbxx.github.io/IGAOD/