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Optimization of 1D Diffraction Grating
Optimization of 1D diffraction grating -
CEC2022 basic benchmark problems
The CEC2022 basic benchmark problems dataset, which includes 5 problems from the CEC2022 benchmark suite. -
Distributed Stochastic Gradient Descent (DSGD) dataset
The dataset used in the paper is a network of n nodes, where each node holds a local copy of the decision vector zi. -
Mean-Field Game Configurations
The dataset used in this paper is a collection of mean-field game configurations. -
Battery Cell Layout Optimization Dataset
The dataset used for training a Generative AI method that employs a cooling-guided diffusion model to optimize the layout of battery cells. -
Branin function
The Branin function is a well-known function for benchmarking optimization methods. It is a 2D function with three global maxima. -
Synthetic dataset for optimal geometry generation
A synthetic dataset created for the purpose of training a generative model for optimal geometry generation. -
BENCHMARK ASSESSMENT FOR DEEPSPEED OPTIMIZATION LIBRARY
Deep Learning (DL) models are widely used in machine learning due to their performance and ability to deal with large datasets while producing high accuracy and performance... -
Cost Function Library benchmark
The dataset used in this paper is the Cost Function Library benchmark. -
Direct preference optimization: Your language model is secretly a reward model
The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used a language model to optimize the performance of a reinforcement... -
Rosenbrock function
The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used Rosenbrock function for optimization. -
RADAR (Research Data Repository)
Imported
Optimized energy hub scheduling using evolutionary algorithms - supplementary...
TechnicalRemarks: This archive provides supplementary materials for the doctoral thesis Optimized Energy Hub Scheduling Using Evolutionary Algorithms. For an elaborate...
