Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles
Abstract: Highlights•A modified (1+λ<math><mi is="true">λ</mi></math>)-CMA-ES based on an ensemble of mutations is proposed for autonomous parking.•The proposed mCMA-ES algorithm leverages on both Gaussian- and Cauchy-based mutations.•Comparative performance shows that mCMA-ES is scalable to different planning horizons.
External IDs:dblp:journals/eswa/AboyejiAM24
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