Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …

Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

The need to avoid computer system breaches is increasing. Many researchers have
adopted different approaches, such as intrusion detection systems (IDSs), to handle various …

The most common term for methods that employ stochastic schemes to produce search
strategies is metaheuristics. In general, there not exist strict classifications of these methods …

Nature-inspired meta-heuristic algorithms (NIMAs) combine the properties of nature-inspired
and mete-heuristic algorithms. Evolutionary inspired and swarm-inspired algorithms are the …

Drying processes in porous materials and their optimization are of interest in research and in
many industrial applications. X-ray micro-computed tomography presents a versatile …

The paper shows the significance of metaheuristic optimization algorithms through their
application to specific engineering problems, especially in mechanical and civil engineering …

Abstract In Metaheuristic Algorithms (MA), balancing exploration and exploitation is a widely
recognized challenge and an ongoing research issue within the MA community. Apart from …