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Consensus-based optimization on hypersurfaces
The dataset is used to test the consensus-based optimization method on hypersurfaces. -
Real-World Application Objectives
The dataset used in the paper is a set of real-world application objectives, which are used to evaluate the performance of the Deterministic Langevin Optimization algorithm. -
Synthetic Test Functions
The dataset used in the paper is a set of synthetic test functions, which are used to evaluate the performance of the Deterministic Langevin Optimization algorithm. -
Deterministic Langevin Optimization
The dataset used in the paper is a set of expensive black-box functions, which are maximized using the Deterministic Langevin Optimization algorithm. -
Automatic LQR tuning based on Gaussian process global optimization
Automatic LQR tuning based on Gaussian process global optimization. -
Training Recurrent Neural Networks via Dynamical Trajectory-Based Optimization
The dataset used in this paper is a recurrent neural network with one hidden layer. The structure of the network is shown in Fig. 1. The input-output relation of the network is...
