Autoencoder-based generation of individuals in population-based metaheuristics
Résumé
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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Autoencoder_based_generation_of_individuals_in_population_based_metaheuristics.pdf (282.91 Ko)
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