Optimizing player behavior in a real-time strategy game using evolutionary algorithms A. Fernández-Ares, A.M. Mora, J.J. Merelo, P. Garcí́a-Sánchez and C. Fernandes

1. Optimizing player behavior in a real-time strategy game using evolutionary algorithms A. Fernández-Ares, A.M. Mora, J.J. Merelo , P. García-Sánchez and C. Fernandes GeNeura group: http://geneura.wordpress.com http://twitter.com/geneura Departamento de Arquitectura y Tecnología de Computadores University of Granada (Spain)

2. Galcon

3. Google AI Challenge

5. Impossible to keep state from one step to tne next

8. Planet to attack chosen according to growth rate and difference

9. Only one attack at the time

12. If they are close to attack planet, they send attack directly

13. Same planet can't be attacked twice

14. But we can do better!

17. BLX- α crossover

23. Growth rate fo target ship becomes more important

25. Comparing bots

27. Genetic algorithm was not really optimized

29. Leave strategy more open

30. Be more “genetic”

31. Thanks for your attention - Questions? [email_address] http://twitter.com/jjmerelo