Recently, a new strong optimization algorithm called marine predators algorithm (MPA) has
been proposed for tackling the single-objective optimization problems and could …

Searching for robust and discriminative features is challenging because of the high-
dimensional characteristics of features. Although numerous dimension-reduction …

Maximizing the classification accuracy and minimizing the number of selected features are
the two main incompatible objectives for using feature selection to overcome the curse of …

Detecting tumors using gene analysis in microarray data is a critical area of research in
artificial intelligence and bioinformatics. However, due to the large number of genes …

The Remora Optimization Algorithm (ROA) is a novel proposed metaheuristic optimization
algorithms based on the swarm intelligent behavior. In ROA, the search agent simulates the …

Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

As a recent addition of population-based metaheuristic algorithms, whale optimisation
algorithm (WOA) has attracted a lot of attention recently. However, WOA still has room for …

Salp swarm algorithm (SSA) is a relatively new bio‐inspired meta‐heuristic optimization
algorithm that mimics the navigating and foraging behavior of salps in oceans. This paper …

Abstract The Sailfish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of
hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes …