A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem

Seagull Optimization Algorithm (SOA) is a metaheuristic algorithm that mimics the migrating and hunting behaviour of seagulls. SOA able to solve continuous real-life problems, but not discrete problems. The eight different binary versions are proposed in this paper. uses four transfer functions, S-shaped V-shaped, which used map search space into space. Twenty-five benchmark functions validate performance algorithm. statistical significance also analysed. Experimental results divulge outperforms competitive algorithms. applied on data mining. demonstrate superiority seagull optimization mining application.