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 …

On‐going research on remote communication and sensing essentially made accessible the
flexible technology called 'wireless sensor network (WSN)', which is independent, self …

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 …

This chapter introduces and overviews an emerging methodology in search and
optimisation. One of the key aims of these new approaches, which have been termed …

This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …

Hyperheuristics can be defined to be heuristics which choose between heuristics in order to
solve a given optimisation problem. The main motivation behind the development of such …

Given their economic importance, there is continuing research interest in providing better
and better solutions to real-world scheduling problems. The models for such problems are …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …

In this paper, we investigate variable neighbourhood search (VNS) approaches for the
university examination timetabling problem. In addition to a basic VNS method, we introduce …