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Autoencoder-Based Generation of Individuals in Population-Based Metaheuristics

EasyChair Preprint no. 2650

2 pagesDate: February 12, 2020

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.

Keyphrases: Autoencoders, Metaheuristics, Optimization, Traveling Salesman Problem

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2650,
  author = {Bastien Pasdeloup and Maryam Karimi-Mamaghan and Mehrdad Mohammadi and Patrick Meyer},
  title = {Autoencoder-Based Generation of Individuals in Population-Based Metaheuristics},
  howpublished = {EasyChair Preprint no. 2650},

  year = {EasyChair, 2020}}
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