An Evolutionary Algorithm Approach for a Real Time Strategy Game

نویسندگان

  • Rodrigo de Freitas Pereira
  • Claudio Fabiano Motta Toledo
  • Marcio Kassouf Crocomo
  • Eduardo do Valle Simões
چکیده

The present paper reports the preliminary results of the application of an evolutionary algorithm developed to adjust artificial intelligence scripts in a real time strategy game. The evolutionary algorithm (EA) is embedded in the game engine of the Bos Wars, which is a real time strategy game coded in C++ and LUA language. The proposed algorithm is an adaptation of a similar approach introduced in [Crocomo 2008], which was applied to the battle system of a Role Playing Game. A tailor-made representation of the individual chromosomes is proposed, as well as a set of new genetic operators. The computational results indicate a superior performance of the scripts produced by the presented evolutionary algorithm when playing against the set of the standard scripts available in Bos Wars [2010].

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تاریخ انتشار 2012