Abstract: This paper presents a data-driven optimization method based on tree search-based reinforcement learning to solve strongly non-separable mixed-integer problems. With this method, some ...

The applied social science research methods certificate is for students in education, the nonprofit sector and government positions who hold a bachelor's degree. Through this program, you'll learn how ...

ABSTRACT: The aim of this research article is to apply topological optimization gradient algorithm applied to 1D and 2D photonic charged slabs. We compute the topological gradient using min max method ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea Division of Smart Energy Convergence Engineering, Korea University, 2511 Sejong-ro, Sejong ...

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 ...

The page file is the virtual memory that Windows depends on other than RAM to store processes that aren’t immediately required. People often recommend disabling it if you have enough RAM for your ...

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, ...

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) ...