Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

We review the most important mathematical models and algorithms developed for the exact
solution of the one-dimensional bin packing and cutting stock problems, and experimentally …

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

Research into the applicability of ant-based optimisation techniques for hyper-heuristics is
largely limited. This paper expands upon the existing body of research by presenting a novel …

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

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 …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

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 …