README

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The python version reference vector guided evolutionary algorithm.

Currently supported: Multi-objective minimization with visualization and interaction support. Preference is accepted as a reference point.

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

Read the documentation here

Requirements:

Installation process:

  • Download and extract the code

  • Create a new virtual environment for the project

  • Run poetry install --no-dev in the activated virtual environment to install the packages necessary to run the code.

  • If you want to take part in the development process, run poetry install instead.

See the details of RVEA in the following paper

R. Cheng, Y. Jin, M. Olhofer and B. Sendhoff, A Reference Vector Guided Evolutionary Algorithm for Many-objective Optimization, IEEE Transactions on Evolutionary Computation, 2016

The source code of pyRVEA is implemented by Bhupinder Saini

If you have any questions about the code, please contact:

Bhupinder Saini: bhupinder.s.saini@jyu.fiProject researcher at University of Jyväskylä.