In the context of simulation-based optimisation, this paper reviews recent work related to the
role of metaheuristics, matheuristics (combinations of exact optimisation methods with …

A novel enhanced quantum particle swarm optimization algorithm for IIoT deployments is
proposed. It provides enhanced connectivity, reduced energy consumption, and optimized …

Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …

Microarrays have been proven to be beneficial for understanding the genetics of disease.
They are used to assess many different types of cancers. Machine learning algorithms, like …

The capacitated dispersion problem is a variant of the maximum diversity problem in which a
set of elements in a network must be determined. These elements might represent, for …

A bio-inspired metaheuristics canonical particle multiswarm optimization (CPMSO) algorithm
is presented to investigate the optimal deployment pattern for sensors to improve the …

The growing use of digital image processing techniques focused on health is explicit,
helping in the solution and improvements in diagnosis, as well as the possibility of creating …

Due to the enormous bandwidth permitted in optical channels, optical networks are the
foundation for high information rate/throughput systems. Furthermore, the communication …

Many robots are dedicated to replicate trajectories recorded manually; the recorded
trajectories may contain singularities, which occur when positions and/or orientations are not …

Base station (BS) coordination with respect to data and energy cooperation has recently
emerged as a potential solution for enhancing the energy efficiency (EE) of multi-cell multi …