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.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 or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Artificial Intelligence (AI), Artificial Neural Networks (ANNs), Genetic Algorithm (GA), Real-Time Strategy Game (RTS), Warcraft 3 |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA299.6-433 Analysis ?? QA76 ?? |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 13 Aug 2012 16:02 |
| Last Modified: | 08 Sep 2014 15:20 |
| URI: | https://eprints.ums.edu.my/id/eprint/4736 |
Actions (login required)
 |
View Item |