publication . Article . 2013

Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game

Lara-Cabrera, Raúl; Cotta, Carlos; Fernández-Leiva, Antonio José;
Open Access English
  • Published: 01 Jan 2013
  • Publisher: Springer-Verlag
  • Country: Spain
Abstract
9th International Conference on Large Scale Scientific Computations. The final publication is available at link.springer.com This work presents a procedural content generation system that uses an evolutionary algorithm in order to generate interesting maps for a real-time strategy game, called Planet Wars. Interestingness is here captured by the dynamism of games (i.e., the extent to which they are action-packed). We consider two different approaches to measure the dynamism of the games resulting from these generated maps, one based on fluctuations in the resources controlled by either player and another one based on their confrontations. Both approaches rely on...
Subjects
free text keywords: Videojuegos, Algoritmos computacionales, Real Time Strategy, Procedural Content Generation, Evolutionary Algorithms, Self-Adaptation, Planet Wars
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