Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

In a 2023 TED Talk watched by millions of people, the American educator and entrepreneur Sal Khan declared that AI was about ...

This paper investigates the one-dimensional cutting stock problem considering two conflicting objective functions: minimization of both the number of objects and the number of different cutting ...

School of Power and Energy, Nanchang Hangkong University, Nanchang, China. China’s aviation industry, particularly its civil aviation sector, is undergoing rapid development, with the fleet of civil ...

In a breakthrough for high-performance and energy-efficient computing, researchers have demonstrated novel spintronics-based ...

Abstract: The Quadratic Assignment Problem (QAP) is a well-studied, NP-Hard combinatorial optimization problem with practical applications in timetabling, scheduling, logistics, circuit design and ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...

In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie Mellon University related to computational experience with quantum annealing, performed ...