IRKO: An Improved Runge-Kutta Optimization Algorithm for Global Optimization Problems

Optimization is a key technique for maximizing or minimizing functions and achieving optimal cost, gains, energy, mass, so on. In order to solve optimization problems, metaheuristic algorithms are essential. Most of these techniques influenced by collective knowledge natural foraging. There no such thing as the best worst algorithm; instead, there more effective certain problems. Therefore, in this paper, new improved variant recently proposed metaphorless Runge-Kutta (RKO) algorithm, called Improved (IRKO) suggested solving The IRKO formulated using basic RKO local escaping operator enhance diversification intensification capability version. performance algorithm validated on 23 standard benchmark three engineering constrained outcomes compared with seven state-of-the-art algorithms, including algorithm. Compared other recommended superior discovering results all selected runtime less than 0.5 s most problems stands first real-world