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EvoSpace: A Distributed Evolutionary Platform based on the Tuple Space Model

  1. EvoSpace: A Distributed Evolutionary Platform based on the Tuple Space Model Mario García-Valdez, Leonardo Trujillo , Francisco Fernández de Vega, Juan J. Merelo Guervós and Gustavo Olague Tecnológico de Tijuana + U. Extremadura + UGR + CIECESE - Ensenada
  2. EvoSpace: the final frontier
  3. Evolving in the cloud #evospace: Valdez et al. 3
  4. Looking at the clouds moving #evospace: Valdez et al. 4
  5. What we do in this paper Implement EvoSpace and test on a number of benchmark problems. #evospace: Valdez et al. 5
  6. Evolutionary landscapes #evospace: Valdez et al. 6
  7. Maintaining diversity #evospace: Valdez et al. 7
  8. And barely keeping it #evospace: Valdez et al. 8
  9. How much does it run? 4-Trap 5-Trap #evospace: Valdez et al. 9
  10. But are EvoWorkers working? #evospace: Valdez et al. 10
  11. Conclusions ● Pool/cloud based EvoSpace works! – Evolution as a service! ● Good scalability is achieved ● Flexibility in implementations: server/cloud based ● Parametrization is important – Block size – Number of workers #evospace: Valdez et al. 11
  12. Future work ● Authentication ● Throttling ● Scalability – And how to achieve it. ● Dissimilar webworkers ● Characterizing pool-based EAs – And when to use them. #evospace: Valdez et al. 12
  13. Thanks for your attention! Any question? #evospace: Valdez et al. 13

Notes de l'éditeur

  1. Combinación de color colorcombo19 Imagen de fondo de ElectroGuepard
  2. Imagen by blaster219 en
  3. Picture by vanil.noir at
  4. They apparently are, since the number of evaluations is pretty much the same; all change in running time must be due to adding EvoWorkers.