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A genetic algorithm for discovering diverse and high performing distributed algorithms for collective behavior in self-organizing particle systems

Home Page: https://arxiv.org/abs/2404.05915

License: MIT License

Rust 59.09% Shell 0.25% Python 40.65%
collective-behavior genetic-algorithm programmable-matter swarm-robotics

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evosops's Issues

Correct Genome Representation

  • Formulate the new information about neighbor configurations into a genome representation
  • Check if corresponding changes to aggregation behaviour work
  • Check if corresponding changes to separation behaviour work
  • Make all the other behaviours basis this complete information

Code and repo clean up

  • Clean up branches with different versions for Full length GA and single Genome Evaluation
  • Add Extensive comments to Code with proper file structure

Scope out NSGA

  • Once target behaviours are established scope out if NSGA-II is required or not
  • List a deliverable plan for NSGA-II if necessary

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