Evolving neural controllers using GA for Warcraft 3- real time strategy game

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.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/BIC-TA.2011.70

Abstract

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
ID Code:4736
Deposited By:IR Admin
Deposited On:13 Aug 2012 16:02
Last Modified:08 Sep 2014 15:20

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