Automatic Generation of Real Time Strategy Tournament Units using Differential Evolution

Chang , Kee Tong and Chin, Kim On and Jason Teo, and Chua , Bih Lii (2011) Automatic Generation of Real Time Strategy Tournament Units using Differential Evolution. In: UNSPECIFIED. (Unpublished)

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Abstract

This paper demonstrates the research results obtained for the application of Differential Evolution (DE) algorithm in a well known real time strategy game, namely Wareraft 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 A1. 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 Paper (UNSPECIFIED)
Uncontrolled Keywords:Art(ficia/ Intelligence (AI), ArtUicial Neural Networks (ANNs), D~flerential Algorithm (DE)\, Real- Time Strategy Game (RTS), WarcN~fi 3.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
ID Code:8605
Deposited By:IR Admin
Deposited On:27 Mar 2014 09:11
Last Modified:18 May 2015 12:23

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