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Autoencoder-based generation of individuals in population-based metaheuristics

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Abstract

In this work, we explore a new way of breeding individuals in a population-based metaheuristic, by exploiting the ability of autoencoders to interpolate representation of candidate solutions in a learned latent space. In the remaining of this document, we present in more details our idea and show its application to the traveling salesman problem.
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Dates and versions

hal-02506195 , version 1 (12-03-2020)

Identifiers

  • HAL Id : hal-02506195 , version 1

Cite

Bastien Pasdeloup, Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer. Autoencoder-based generation of individuals in population-based metaheuristics. ROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France. ⟨hal-02506195⟩
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