Since the past decades, most of the nature inspired optimization algorithms (NIOA) have
been developed and become admired due to their effectiveness for resolving a variety of …

In the last three decades, the field of computational intelligence has seen a profusion of
population‐based metaheuristics applied to a variety of problems, where they achieved …

In this paper, a new compact algorithm is proposed. Two sinusoidal formulas are used to
automatically adjust the crossover rate and the mutation scaling factor in the compact …

Efficient algorithms have become an important focus in the variable selection problem to
deal with larger and more complex datasets. Indeed, developing such algorithms is not an …

Efficient algorithms have become an important focus in the variable selection problem to
deal with larger and more complex datasets. Indeed, developing such algorithms is not an …

Variable selection is the procedure used to choose a subset of suitable features contained in
a given dataset. Selecting variables becomes important when the dataset contains many …