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Communication Dans Un Congrès Année : 2016

Learning and Migration Processes for Island Models

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Résumé

Dynamic island models are population-based algo-rithms for solving optimization problems, where the individualsof the population are distributed on islands. The purpose of thisdynamic/adaptive management of the migrations is to send theindividuals to the most promising islands, with regards to theircurrent states. In this paper, we propose to investigate Q-Learningas migration policy.
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Dates et versions

hal-02709479 , version 1 (13-10-2021)

Identifiants

  • HAL Id : hal-02709479 , version 1
  • OKINA : ua15335

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Frédéric Lardeux, Frédéric Saubion, Jorge Maturana. Learning and Migration Processes for Island Models. 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2016, San Jose, United States. ⟨hal-02709479⟩

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