Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...

In the rapidly evolving world of corporate finance and investments, the demand for advanced analytical methods to guide decision-making processes has never been greater. Traditionally, finance relied ...

Table 8 shows the mean values of the OQS values corresponding to each level and their ranges for the MIM process parameters using the Taguchi method. IP: 350 bar, IT: 140 °C, PL: 64.5%vol, MT: 45 °C, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of novel subnanometer clusters (SNCs) catalysts with superior ...

1 Department of Mathematics, University of Ndjamena, Ndjamena, Tchad. 2 Department of Mathematics and Computer Science, University of Cheikh. A. Diop, Dakar, Senegal. In the evolving landscape of ...

Multiphysics modeling and simulation in nuclear engineering is critical for the design, analysis, and operation of advanced nuclear reactors. These simulations encapsulate the intricate interactions ...

Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n ...

Group Relative Policy Optimization (GRPO) is a novel reinforcement learning method introduced in the DeepSeekMath paper earlier this year. GRPO builds upon the Proximal Policy Optimization (PPO) ...

Abstract: Due to the pivotal role of metamaterial absorbers in enhancing electromagnetic (EM) wave control and management, the optimization for metamaterial absorbers has garnered increasing attention ...