Termination detection strategies in evolutionary algorithms: a survey

@inproceedings{Liu2018TerminationDS,
  title={Termination detection strategies in evolutionary algorithms: a survey},
  author={Yanfeng Liu and Aimin Zhou and Hu Zhang},
  booktitle={GECCO},
  year={2018}
}
This paper provides an overview of developments on termination conditions in evolutionary algorithms (EAs). It seeks to give a representative picture of the termination conditions in EAs over the past decades, segment the contributions of termination conditions into progress indicators and termination criteria. With respect to progress indicators, we consider a variety of indicators, in particular in convergence indicators and diversity indicators. With respect to termination criteria, this… CONTINUE READING

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