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Evolving Neural Controllers Using GA for Warcraft 3-Real Time Strategy Game

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4 Author(s)
Chang Kee Tong ; Sch. of Eng. & Inf. Technol., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia ; Chin Kim On ; Teo, J. ; Kiring, A.M.J.

This paper presents the research results found for the utilization of a Genetic Algorithm (GA) technique in evolving a set of Artificial Neural Networks (ANNs) weights which functions as controller in deciding what type of unit that should be spawned for winning against the opponent in a RTS game called War craft 3 (custom map). The elitism concept is applied during the optimization processes in order to avoid losing good solutions. The experimentation results show clearly a group of mixed randomized opponent can be defeated by the generated AI army. Hence, it is proof that GA is capable to act as a tuning technique in generating the required controllers in RTS game. Furthermore, the neural controllers generated are able to decide the best group of army used in defeating the opponent.

Published in:

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on

Date of Conference:

27-29 Sept. 2011