Modified FATA Morgana Algorithm Based on Lévy Flight

Metaheuristics is an algorithmic approach used to solve complex optimization problems that are difficult to solve with conventional methods. The wide application of metaheuristics shows the flexibility and effectiveness of this method in solving various optimization problems in various fields. With the continuous development of technology and the need for more efficient solutions, the use of metaheuristics is expected to increase in the future. A novel group intelligence technique, called the modified mirage algorithm (FATA), is introduced to tackle continuous multi-type optimization problems. FATA formulates the mirage light filtering principle (MLF) and light propagation strategy (LPS) by replicating the mechanism of mirage formation. The MLF approach, together with the final integration concept, improves the algorithmic population's exploration capacity within FATA.This study presents the application of the levy flight method to the fata morgana algorithm. Validation in this study between the proposed method and the original fata morgana algorithm. From the simulation results, it is found that the proposed method has better performance on unimodal and multimodal functions.