On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking

M. Wahby, H. Hamann, in: Applications of Evolutionary Computation (EvoApplications 2015), 2015.

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Conference Paper | English
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Wahby, Mostafa; Hamann, Heiko
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Applications of Evolutionary Computation (EvoApplications 2015)
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Wahby M, Hamann H. On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In: Applications of Evolutionary Computation (EvoApplications 2015). ; 2015. doi:10.1007/978-3-319-16549-3_61
Wahby, M., & Hamann, H. (2015). On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In Applications of Evolutionary Computation (EvoApplications 2015). https://doi.org/10.1007/978-3-319-16549-3_61
@inproceedings{Wahby_Hamann_2015, title={On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking}, DOI={10.1007/978-3-319-16549-3_61}, booktitle={Applications of Evolutionary Computation (EvoApplications 2015)}, author={Wahby, Mostafa and Hamann, Heiko}, year={2015} }
Wahby, Mostafa, and Heiko Hamann. “On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking.” In Applications of Evolutionary Computation (EvoApplications 2015), 2015. https://doi.org/10.1007/978-3-319-16549-3_61.
M. Wahby and H. Hamann, “On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking,” in Applications of Evolutionary Computation (EvoApplications 2015), 2015.
Wahby, Mostafa, and Heiko Hamann. “On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking.” Applications of Evolutionary Computation (EvoApplications 2015), 2015, doi:10.1007/978-3-319-16549-3_61.

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