. Here, a sunflower optimization algorithm is utilized to provide two different objectives: minimizing the combined yearly …

minimizing the SSE, a newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed. Performance analysis is … results have been compared with the empirical data and also some state of art methods including Seagull Optimization Algorithm … (SOA), Multi-verse optimizer (MVO), and Shuffled Frog-Leaping Algorithm (SFLA). Final results indicate 2.18 and 0.014 SSE …

penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms … optimization algorithm for showing the superiority of the algorithm. … compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor …

purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification … different conditions. Simulation results are compared with several optimization algorithms and show the algorithm’s superiority … of the PEMFC stacks. The new algorithm uses the Lévy flight mechanism to give faster convergence rates. The sum of the …

) algorithm, converged krill herd optimization algorithm (CKH). Simulation results are analyzed based on the average power demand … state-of-charge limit The optimization problem has been solved based on a new improved model of the Krill Herd (KH …, speed demand of the locomotive, and the locomotive slope. The results of the presented CKH algorithm have been compared with …