Automatic generation of real time strategy tournament units using differential evolution

Tong, Chang Kee and On, Chin Kim and Teo, Jason Tze Wi and Lii, Chua Bih (2011) Automatic generation of real time strategy tournament units using differential evolution. In: 2011 IEEE Conference on Sustainable Utilization Development in Engineering and Technology, STUDENT 2011, 20-21 October 2011, Sementih, Kuala Lumpur, Malaysia.


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This paper demonstrates the research results obtained for the application of Differential Evolution (DE) algorithm in a well known real time strategy game, namely Warcraft 3. The DE algorithm is one of the global optimizers that commonly used in solving real-time problems. In this work, the DE algorithm is combined with the conventional feed-forward artificial neural network in optimizing the solutions. The DE acts as an optimization technique used during evolution whilst the neural network operates as the controller in deciding the unit that should be spawned for mimicking the computer AI. The experimentation results show a group of mixed randomized opponent from a larger food limit can be defeated by the generated AI army using DE. Thus, it proofs that the DE used has successfully tuned the neural weights which acts as controllers in this tournament game. Furthermore, the generated controllers could decide the best units that should be spawned in defeating the opponent.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Artificial Intelligence (AI), Artificial Neural Networks (ANNs), Differential Algorithm (DE), Real-Time Strategy Game (RTS), Warcraft 3
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 30 Apr 2012 08:10
Last Modified: 09 Nov 2017 07:28

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