An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

Then, an integer programming model is constructed to optimize the arrangement of the order plates based on MARL’s decisions. To further refine the MARLIP approach, we introduce dual factors and a soft ...

Learn how to apply greedy and backtracking algorithms to real-world problems, and how to implement them in Python with examples.

A non-standard fitted operator finite difference method based on the Crank-Nicolson discretization for time variable comprising a non-standard fitted operator finite difference on uniform mesh for ...

When using the AGD method for a considered model, the iterative function should be unchanging during all the iterations. This article proposes a hierarchical AGD algorithm for separable nonlinear ...

AGC dynamic optimization is a sequential decision problem that can be formulated as a discrete-time Markov decision process. Therefore, this article proposes a novel framework based on proximal policy ...