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Communication Dans Un Congrès Année : 2016

Learning and Migration Processes for Island Models

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

Citer

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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