For many years, oil spills have posed a huge and inescapable threat to the seas and
oceans. Hence, it is noted that oil spills caused by the purposeful or unintentional discharge …

Data mining and machine learning algorithms' performance is degraded by data of high-
dimensional nature due to an issue called “curse of dimensionality”. Feature selection is a …

A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for
function optimization problems. Many of its parameters need to be set by experience in DA …

The assignment problem is a famous problem in combinatorial optimization where several
objects (tasks) are assigned to different entities (workers) with the goal of minimizing the …

Healthcare informatics data is proliferating, and analyzing this data is a challenging issue as
it requires multiple levels of extraction of knowledge for decision making. Knowledge …

Statisticians in both academia and industry have encountered problems with high-
dimensional data. The rapid feature increase has caused the feature count to outstrip the …

The work presented in this paper investigates the use of metaheuristic optimization
algorithms for the face recognition problem. In the first setup, a face recognition system is …

Metaheuristic algorithms are widely used in various applications. Collaborating two or more
algorithms in a hybrid form has shown great improvements in terms of the algorithm's …

BAT algorithm is a nature-inspired metaheuristic algorithm that depends on the principle of
the echolocation behavior of bats. However, the algorithm suffers from being stuck in the …

The face recognition system has been used in many fields, including security, border control,
and mobile phone companies to protect devices, etc. Therefore, it is necessary to develop …