MG-TuRBO achieves better performance than standard TuRBO and genetic algorithms in high-dimensional traffic simulation calibration, especially in 84D settings when using an adaptive acquisition strategy.
Developing analysis, modeling, and simulation tools for connected automated vehicle applications: A case study on sr 99 in california
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Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
MG-TuRBO achieves better performance than standard TuRBO and genetic algorithms in high-dimensional traffic simulation calibration, especially in 84D settings when using an adaptive acquisition strategy.