Multi-objective assessment of pre-optimized build orders exemplified for StarCraft 2

Kuchem M., Preuss M., Rudolph G.


Abstract
Modern realtime strategy (RTS) games as Star-Craft 2 educe so-called metagames in which the players compete for the best strategies. The metagames of complex RTS games thrive in the absence of apparent dominant strategies, and developers will intervene to adjust the game when such strategies arise in public. However, there are still strategies considered as strong and ones thought of as weak. For the Zerg faction in StarCraft 2, we show how strong strategies can be identified by taking combat strength and economic power into account. The multi-objective perspective enables us to clearly rule out the unfavourable ones of the single optimal build orders and thus selects interesting openings to be tested by real players. By this means, we are e.g. able to explain the success of the recently proposed 7-roach opening. While we demonstrate our approach for StarCraft 2 only, it is of course applicable to other RTS games, given build-order optimization tools exist. © 2013 IEEE.



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2013

Conference
2013 IEEE Conference on Computational Intelligence in Games, CIG 2013

Venue
Niagara Falls, ON, can

Pages range
1-8

Volume
null

Language
English

ISSN
2325-4289

ISBN
9781467353113

DOI

Full text

Affiliation
Universitat Dortmund