Optimizing strategy parameters in a game bot

Authors:
A. Fernández-Ares;A. M. Mora;J. J. Merelo;P. García-Sánchez;C. M. Fernandes
Affiliations:
Depto. de Arquitectura y Tecnología de Computadores, U. of Granada;Depto. de Arquitectura y Tecnología de Computadores, U. of Granada;Depto. de Arquitectura y Tecnología de Computadores, U. of Granada;Depto. de Arquitectura y Tecnología de Computadores, U. of Granada;Depto. de Arquitectura y Tecnología de Computadores, U. of Granada
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Year:
2011

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Abstract

This paper proposes an Evolutionary Algorithm for finetuning the behavior of a bot designed for playing Planet Wars, a game that has been selected for the the Google Artificial Intelligence Challenge 2010. The behavior engine of the proposed bot is based on a set of rules established by means of heuristic experimentation, followed by the application of an evolutionary algorithm to set the constants, weights and probabilities needed by those rules. This bot eventually defeated the baseline bot used to design it in most maps, and eventually played in the Google AI competition, obtaining a ranking in the top 20%.