Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …

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 …

Abstract Machine learning and optimisation are two growing fields of artificial intelligence
with an enormous number of computer science applications. The techniques in the former …

The container pre-marshalling problem (CPMP) is concerned with the re-ordering of
containers in container terminals during off-peak times so that containers can be quickly …

This paper presents HyFlex, a software framework for the development of cross-domain
search methodologies. The framework features a common software interface for dealing with …

Hyper-heuristics are search methodologies that aim to provide high-quality solutions across
a wide variety of problem domains, rather than develo** tailor-made methodologies for …

Hyper-heuristic approaches aim to automate heuristic design in order to solve multiple
problems instead of designing tailor-made methodologies for individual problems. Hyper …

Hyper-heuristics are general purpose search methods for solving computationally difficult
problems. A selection hyper-heuristic is composed of two key components: a heuristic …

One-and two-dimensional packing and cutting problems occur in many commercial contexts,
and it is often important to be able to get good-quality solutions quickly. Fairly simple …

The importance of the nurse rostering problem in complex healthcare environments should
not be understated. The nurses in a hospital should be assigned to the most appropriate …