This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE …) models. The algorithm trains a deep neural network to approximate the model's policy functions across four progressive phases …

probabilistic inference. The algorithm proposed by J. Pearl is widely used for point estimates of relevant probabilities. However … article proposes a fuzzy version of this algorithm, which can solve the problem of probabilistic inference on a Bayesian …

Sine Cosine Algorithm (ISCA) that uses the load-shifting technique for demand-side management as a way to improve the … evaluated by comparing it with the Grasshopper Optimization Algorithm (GOA) and unscheduled cases. Without applying an … optimization algorithm, the total electricity cost, carbon emission, PAR and waiting time are equal to 1703.576 ID, 34.16664 (kW …

Optimization Algorithm (WOA), and Ant Lion Optimizer (ALO) are compared to resolve large-scale problems by considering a sorting …

set of machines. This paper introduces an algorithm to tackle the FJSSP by minimizing makespan and total weighted … earliness and tardiness under uncertainty. This hybrid algorithm effectively addresses the complexities of stochastic multi … algorithm II (NSGA-II), and simulation techniques. The algorithm's effectiveness is validated by showcasing specific instances …