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 …

Abstract The Internet of Things (IoT) is a network in the socio-physical space that provides a
platform for large-scale data collection. In this context, Wireless Sensor Nodes (WSN) and …

There is a growing interest towards the design of reusable general purpose search methods
that are applicable to different problems instead of tailored solutions to a single particular …

Hyper-heuristics are high-level methodologies for solving complex problems that operate on
a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen …

Hyper-heuristics have emerged as automated high level search methodologies that manage
a set of low level heuristics for solving computationally hard problems. A generic selection …

Hyper-heuristic is a crucial answer to how problem-specific heuristics can be selected or
generated automatically for solving different optimization problems. However, selecting a …

A primary role for hyper-heuristics is to control search processes based on moves generated
by neighbourhood operators. Studies have shown that such hyper-heuristics can be …

Several metaheuristics have been developed for global optimization. Most of them are
designed for solving a specific problem at hand, and their use on a new implementation is a …

Selection hyper-heuristics perform search over the space of heuristics by mixing and
controlling a predefined set of low level heuristics for solving computationally hard …

There is a growing interest towards self configuring/tuning automated general-purpose
reusable heuristic approaches for combinatorial optimisation, such as, hyper-heuristics …