into the field of solution methods and we design an adaptive reinforcement learning-based algorithm for solving Model I and … Model II. To prove the validity of our model and algorithm, extensive numerical experiments are conducted. The experimental … results demonstrate that the proposed models and algorithm have advantages in terms of speed and solution quality, and we can …

machine learning and hybrid genetic algorithm for energy-efficient scheduling and cleaner production. The knowledge … genetic algorithm is developed to obtain the optimal scheduling solution to address dynamic multiple objective production …

to introduce a new meta-innovative algorithm with an imperialist competitive algorithm and genetic algorithm (ICA-GA). By … simultaneously along with a proposed algorithm. Finally, to assess the validity of the ICA-GA hybrid algorithm, the famous MOPSO … algorithm in solving the proposed model is utilized. The evaluated data is extracted from the PSPLIB standard library. The study …

using a genetic algorithm to maximize final score prediction accuracy for a certain number of moves. We selected shapes for …