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 …

Educational timetabling is an ongoing challenging administrative task that is required in
most academic institutions. This is mainly due to a large number of constraints and …

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 are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world
optimization problems. This is the first book on hyper-heuristics, and aims to bring together …

Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …

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

In recent research, hyper-heuristics have attracted increasing attention in various fields. The
most appealing feature of hyper-heuristics is that they aim to provide more generalized …

Educational timetabling problems, namely, university examination timetabling, university
course timetabling and school timetabling, are combinatorial optimization problems …

Building university timetables is a complex process that considers varying types of
constraints and objectives from one institution to another. The problem solved in this paper …