Abstract: In the context of carbon peaking and carbon neutrality, green production scheduling that considers energy has attracted increasing attention. Reinforcement learning (RL) has emerged as a ...
Have you ever found yourself buried under the chaos of managing employee schedules, struggling to balance coverage and fairness while avoiding costly errors? In this guide, Kenji Explains explains how ...
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Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...
Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...
NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...
Q. I use Excel to do traditional linear forecasting, but I would like to upgrade to exponential smoothing for more accurate forecasts. Is there a way to do this in Excel? A. Accurate forecasting is ...
From Judge André Birotte (C.D. Cal.) in Cloobeck v. Villaraigosa, decided Dec. 8 but just posted on Westlaw: This action arises out of the 2026 California gubernatorial election and the use of the ...
Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...
Artificial intelligence is transforming how we cure disease, defend nations, and deliver goods. But the same technology driving this surge of innovation is also testing the limits of the system that ...
Abstract: The Reentrant Flexible Flow Shop Scheduling Problem (RFFSP) involves multiple repetitions of job processing in the production system, which leads to higher scheduling complexity. To solve ...