-layer iterative algorithm is proposed to solve the model based on NSGA Ⅱ and Q-learning algorithm. NSGA Ⅱ algorithm generates a … combination of modes, and its fitness function searches for job time selection in each mode using the Q-learning algorithm. The … proposed algorithm’s performance priority is verified by comparing it with the classical NSGA Ⅱ, Particle swarm optimization …

propose a non-parametric algorithm that generates a sequence of adaptive ordering decisions based on the stochastic gradient … descent method. We compare the T-period cost of our algorithm to the clairvoyant, who knows the underlying demand distribution …

concept of Slater’s spectrum which generalizes Slater’s index, and next, devising an efficient algorithm to find the spectrum … of the algorithm, we are able to find all solutions of the LOP. Numerical examples on synthetic and real-world data are …

model with the EM algorithm, which is equivalent to an iteratively re-weighted Poisson-gamma model on an augmented data set …

model comparison. LightGBM algorithm outperforms the other 14 models acording to both RMSE and MAE criteria, and is the only …

setting, humans cannot verify the algorithm's quality. We, therefore, argue that algorithms exhibit traits of a credence good … intervention, we explain the way the algorithm functions. We find that while explanation helps participants recognize bias in the … algorithm, it remarkably decreases human decision-making performance. In the second treatment, we reveal the task's correct …