The tornadogenesis optimization algorithm

The Tornadogenesis Optimization Algorithm (TOA), a new air mass population based meta-heuristic optimization (MHO) algorithm is devised in this paper. Implementation of TOA has taken its root from the formation of tornadoes, particularly at Oklahoma State of United States. The inspiration and the mathematical formulation along with a flowchart, the proposed algorithm was explained in this paper. The comparable and evidential investigations have been conducted on 23 standard mathematical benchmark functions. To test the numerical efficiency and clustering quality of TOA, clustering experiments also have been conducted on 10 real data clustering problems. The obtained results are compared with the other state-of-the-art algorithms, recently developed optimization technique WOA and its variants IWOA and NPMOA. Simulation results with the statistical significance confirm that the TOA outperform in complex function optimization problems.