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The chapter proposes an approach that combines Genetic Algorithms and Q-Learning to improve efficiency in solving the STSP. These methods offer a robust framework to address complex optimization problems, allowing dynamic adaptations to changing conditions of the urban environment.

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Genetic Algorithms and Q-Learning for the Optimization of the STSP Problem in Urban Mobility

  • 章节

  • 发表日期：

    2025年

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  • Juan-Carlos Hernández-Marín,
  • Laura Cruz-Reyes,
  • Patricia Ruiz-Villalobos,
  • Bernabé Dorronsoro-Díaz,
  • Claudia Gómez-Santillán,
  • Nelson Rangel-Valdez,
  • María-Lucila Morales-Rodríguez

摘要

The chapter proposes an approach that combines Genetic Algorithms and Q-Learning to improve efficiency in solving the STSP. These methods offer a robust framework to address complex optimization problems, allowing dynamic adaptations to changing conditions of the urban environment.