On using evolutionary computation approach for strategy optimization in robot soccer
Faculty / School
Faculty of Computer Sciences (FCS)
Department
Department of Computer Science
Was this content written or created while at IBA?
Yes
Document Type
Conference Paper
Publication Date
12-19-2016
Conference Name
2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI)
Conference Location
Rawalpindi, Pakistan
Conference Dates
1-2 November 2016
ISBN/ISSN
85011072205 (Scopus)
First Page
11
Last Page
16
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keywords
Evolutionary algorithm, Opponent modeling, Optimization, RoboCup soccer simulation 3D, Team strategy
Abstract / Description
This paper proposes an approach for design and optimization of strategy in the domain of robot soccer. The strategic placements, evolved via evolutionary algorithms, allow the team to enhance their decision-making capability for real-time strategy execution. Experiments are conducted using binaries of teams participating in RoboCup Soccer Simulation 3D League competitions. In the context of robot soccer, strategy denotes the critical areas where home team agents should be positioned keeping in view the strength and weakness of the opponent agents. For simplicity, only defensive scenarios are considered. Thus, the goal difference, regions occupied by defending players and ball possession are used as the fitness criteria. The results of the experiments clearly demonstrate that strategy optimization against a specific opponent contributes radically towards a team's success.
DOI
https://doi.org/10.1109/ICRAI.2016.7791220
Recommended Citation
Larik, A. S., & Haider, S. (2016). On using evolutionary computation approach for strategy optimization in robot soccer., 11-16. https://doi.org/10.1109/ICRAI.2016.7791220
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