This paper proposes a novel Large Language Model (LLM)-assisted hyper-heuristic evolutionary algorithm framework (LLMHHEA) to enhance the accuracy of groundwater level (GWL) prediction. Traditional ...

Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...

Abstract: Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D* ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Abstract: Based on the theories and methods of operations research, a mathematical model for the shortest rescue route during gas leak emergencies in high-sulfur oil and gas fields is built in this ...

This paper presents an autonomous navigation system for cost-effective magnetic-assisted colonoscopy, employing force-based sensors, an actuator, a proportional–integrator controller and a real-time ...

The identification of synthetic routes that end with the desired product is considered an inherently time-consuming process that is largely dependent on expert knowledge regarding a limited proportion ...

Solving the sliding puzzle using a basic AI algorithm. I had published this article on Medium in September of 2018. I have decided to create more content on my LinkedIn profile, thus rewriting this ...

David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller und Marius Lindauer. Learning Heuristic Selection with Dynamic Algorithm Configuration. In Proceedings of the 31st International ...