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The python version reference vector guided evolutionary algorithm.

Project description

desdeo-emo

Binder

The evolutionary algorithms package within the desdeo framework.

Currently supported:

  • Multi-objective optimization with visualization and interaction support.
  • Preference is accepted as a reference point.
  • Surrogate modelling (neural networks and genetic trees) evolved via EAs.
  • Surrogate assisted optimization
  • Constraint handling using RVEA
  • IOPIS optimization using RVEA and NSGA-III

Currently NOT supported:

  • Binary and integer variables.

To test the code, open the binder link and read example.ipynb.

Read the documentation here

Requirements:

Installation process for normal users:

  • Create a new virtual enviroment for the project
  • Run: pip install desdeo_emo

Installation process for developers:

  • Download and extract the code or git clone
  • Create a new virtual environment for the project
  • Run poetry install inside the virtual environment shell.

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