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) …

Swarm based optimization algorithms are a collection of intelligent techniques in the field of
Artificial Intelligence (AI) were developed for simulating the intelligent behavior of animals …

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

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 …

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 …

Elephant Herding optimization algorithm (EHO) is a metaheuristic swarm based search
algorithm, which is used to solve various optimization problems. EHO can be used to solve …

Swarm Intelligence is an active area of researches and one of the most well-known high-
level techniques intended to generat, select or find a heuristic that optimize solutions of …

A structural fault is a significant factor that represents a safety hazard in the proper
functioning of the structure. Thus, the crack should be detected and remade before the …

In computer science and engineering fields, it is typically very difficult to solve various
optimization problems. Over the past few decades, different algorithms are designed to deal …

The continues in real-world problems increasing complexity motivated computer scientists
and researchers to search for more-efficient problem-solving strategies. Generally natural …