Heterogeneous Multi-Population Evolutionary Dynamics with Migration Constraints

Julian Barreiro-Gomez, Germán Obando, Andres Pantoja, Hamidou Tembine

Research output: Contribution to journalConference articlepeer-review


We present a novel distributed heterogeneous multi-population evolutionary dynamics approach, which can be used in diverse engineering applications as a distributed optimization-based algorithm. We also provide stability certificates of Nash equilibria under the proposed approach. Finally, over the end of this paper, an example illustrates the performance of the aforementioned multi-population evolutionary dynamics.

Original languageEnglish (US)
Pages (from-to)16852-16857
Number of pages6
Issue number2
StatePublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: Jul 12 2020Jul 17 2020


  • distributed learning
  • Heterogeneous populations
  • multi-population evolutionary dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering

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