Tong, Chang Kee and Kim, On Chin and Teo, Jason Tze Wi and Aroland M'Conie Jilui Kiring, (2011) Evolving neural controllers using GA for Warcraft 3- real time strategy game. In: 6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011, 27-29 September 2011, Penang, Malaysia.
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Official URL: http://dx.doi.org/10.1109/BIC-TA.2011.70
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 Warcraft 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.
|Item Type:||Conference Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Artificial Intelligence (AI), Artificial Neural Networks (ANNs), Genetic Algorithm (GA), Real-Time Strategy Game (RTS), Warcraft 3|
|Subjects:||?? QA299.6-433 ??|
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||SCHOOL > School of Engineering and Information Technology|
|Deposited By:||IR Admin|
|Deposited On:||13 Aug 2012 16:02|
|Last Modified:||08 Sep 2014 15:20|
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