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The main contribution of this paper is the hybridization of two mechanisms, allowing the coevolutionary algorithm to effectively adapt to changes in dynamic multi-objective problems and improve its ability to find viable solutions while maintaining the necessary diversity within the populations.

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Hybridization of Change Adaptation Mechanisms to Solve Multi-objective Dynamic Problems

  • 章节

  • 发表日期：

    2025年

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  • Lorena Rosas-Solórzano,
  • Claudia Gomez-Santillan,
  • Nelson Rangel-Valdez,
  • Laura Cruz-Reyes,
  • Lucila Morales-Rodríguez,
  • Hector Fraire-Huacuja

摘要

The main contribution of this paper is the hybridization of two mechanisms, allowing the coevolutionary algorithm to effectively adapt to changes in dynamic multi-objective problems and improve its ability to find viable solutions while maintaining the necessary diversity within the populations.