Online evolution of offensive strategies in real-time strategy gaming

Huat, Ch'ng Siong and Teo, Jason Tze Wi (2012) Online evolution of offensive strategies in real-time strategy gaming. In: 2012 IEEE Congress on Evolutionary Computation, CEC 2012, 10-15 June 2012, Brisbane, Australia.

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The main objective of this paper is to investigate online evolution of military unit combination strategies for winning an offensive rush in a real-time strategy (RTS) game. A modified version of Evolutionary Programming (EP) is used as the evolutionary optimizer while WARGUS is used as the RTS gaming environment. Evolution of the military unit combinations is conducted online, which means that optimization is taking place while a particular round of the RTS game is still in progress. Empirical tests show that the online evolution of military unit combination strategies is possible using EP and was able to mount successful offensive campaigns on a reliable basis against three respective built-in, human-crafted AI strategies provided in WARGUS.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Computational intelligence in games, Evolutionary programming, Online evolution, Real-time strategy games, Combination strategies, Empirical test, Military units, Online evolution, Optimizers, Real time strategies, Real-time strategy games, Artificial intelligence, Computer programming, Evolutionary algorithms, Real time systems, Computer software
Subjects: ?? QA75.5-76.95 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email
Date Deposited: 06 Nov 2012 00:06
Last Modified: 08 Sep 2014 06:15

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