In the midst of the rapid advancement of technology that is now taking place, the disciplines
of processing and algorithms have arisen as very important areas of research and practical …

A metaheuristic is a collection of algorithmic frameworks inspired by nature designed to
provide the fittest nearoptimal solution for optimization problems (Marqas et al., 2020) …

Metaheuristic algorithms are optimization algorithms that are used to address complicated
issues that cannot be solved using standard approaches. These algorithms are inspired by …

Energy consumption always represents a challenge in the ad hoc networks which spurred
the researchers to benefit from the bio-inspired algorithms and their fitness functions to …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

Numerous studies have been performed on the behavior of pile foundations in cold regions.
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …

Bio-Inspired optimization algorithms are inspired from principles of natural biological
evolution and distributed collective of a living organism such as (insects, animal,…. etc.) for …

Metaheuristic is one of the most well-known fields of research used to find optimum solutions
for non-deterministic polynomial hard (NP-hard) problems, for which it is difficult to find an …

Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for
solving complex problems. However, HHO could easily fall within the local minimum. In this …

Recent days, the concept of data mining and the need for it, its objectives and its uses in
various fields, explain its procedures and tools, the type of data that is mined, and the …