A Hybrid Metaheuristics for Prediction of Thyroid Disease

In this study, a hybrid method between two metaheuristics, Practical Swarm Optimization, and Gray Wolf Optimization, was applied to evaluate thyroid disease based on the analysis results. An optimization function was built to build a subgroup from the next choice, which should maximize the predictive performance of a disease prediction model. The results achieved are impressive and open to other metaheuristic tests.