Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …

An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …

Large language models (LLMs) have demonstrated tremendous capabilities in solving
complex tasks, from quantitative reasoning to understanding natural language. However …

Hyper-heuristics comprise a set of approaches that aim to automate the development of
computational search methodologies. This chapter overviews previous categorisations of …

The current state of the art in hyper-heuristic research comprises a set of approaches that
share the common goal of automating the design and adaptation of heuristic methods to …

Hyper-heuristics represent a novel search methodology that is motivated by the goal of
automating the process of selecting or combining simpler heuristics in order to solve hard …

Designing effective dispatching rules is an important factor for many manufacturing systems.
However, this time-consuming process has been performed manually for a very long time …

We present a genetic programming (GP) system to evolve reusable heuristics for the 2-D
strip packing problem. The evolved heuristics are constructive, and decide both which piece …

Genetic programming approaches have been employed in the literature to automatically
design constructive heuristics for cutting and packing problems. These heuristics obtain …

The literature shows that one-, two-, and three-dimensional bin packing and knapsack
packing are difficult problems in operational research. Many techniques, including exact …