A steady-state \(\mu\)GA-based generative hyper-heuristic approach for producing selection hyper-heuristics that outperform those generated by other evolutionary methods in the literature for the ...

In the world of computer science and optimization, we often face problems that seem impossible to solve optimally within a reasonable timeframe. Imagine trying to find the shortest route that visits ...

Rock dynamics has a wide range of applications in many rock engineering-related projects including tunneling and excavation, reservoir modeling, hydrocarbon reserve estimation, geotechnical earthquake ...

Abstract: In printed circuit board assembly (PCBA), effectively and reliably addressing the placement routing problem (PRP) for dual-gantry placement machines continues to be a considerable issue. In ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Abstract: Finding the shortest path is a classic problem, which is of great significance in robot pathfinding, automatic logistics distribution, map navigation, and other fields. When studying this ...

What is a Heuristic Search? A Heuristic is a technique to solve a problem faster than classic methods, or to find an approximate solution when classic methods cannot. This is a kind of a shortcut as ...

It is generally well-understood that antimalware programs—the software which detects computer viruses, worms, trojan horses and other threats to your system—work by scanning files using signatures ...

A comprehensive Python library of heuristic optimization algorithms with theoretical foundations, practical examples, and unified visualization tools. Designed for teaching, research, and real-world ...