Assessing the quality of car racing controllers in a virtual setting under changed conditions
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Author (Corporation)
Publication date
2022
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Type
04B - Conference paper
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Parent work
ISMSI '22: Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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DOI of the original publication
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Issue / Number
Pages / Duration
73-79
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Publisher / Publishing institution
ACM
Place of publication / Event location
New York
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Abstract
This paper discusses several controllers based on fuzzy logic and evolutionary concepts applied to a car racing simulation and their robustness to changing physics of the cars. The challenge is to design a car controller that passes the next three arising waypoints faster than an opponent car controller. Two fuzzy controllers are compared to two evolutionary optimized controllers in solo races as well as in head-to-head competitions, where all controllers compete head-to-head against the other controllers. The influence of some parameter settings is investigated as well. The results emphasize the robustness of the fuzzy controllers, not differing much from each other. Overall, the fuzzy controllers perform better with different parameter settings of the driving physics except when reverse speed is equal to forward speed.
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Event
ISMSI 2022: 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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Exhibition end date
Conference start date
09.04.2022
Conference end date
10.04.2022
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ISBN
978-1-4503-9628-8
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Language
English
Created during FHNW affiliation
Yes
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Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
Minder, S., Funken, M., Dornberger, R., & Hanne, T. (2022). Assessing the quality of car racing controllers in a virtual setting under changed conditions. ISMSI ’22: Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 73–79. https://doi.org/10.1145/3533050.3533062