Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection

Dipper throated optimization (DTO) algorithm is a novel with very efficient metaheuristic inspired by the dipper bird. DTO has its unique hunting technique performing rapid bowing movements. To show efficiency of proposed algorithm, tested and compared to algorithms Particle Swarm Optimization (PSO), Whale Algorithm (WOA), Grey Wolf Optimizer (GWO), Genetic (GA) based on seven unimodal benchmark functions. Then, ANOVA Wilcoxon rank-sum tests are performed confirm effectiveness other techniques. Additionally, demonstrate algorithm's suitability for solving complex real-world issues, used solve feature selection problem. The strategy using DTOs as evaluated commonly data sets from University California at Irvine (UCI) repository. findings indicate that outperforms all in addressing demonstrating capabilities situations.