Application of Firefly Algorithm in Scheduling

Abstract

Metaheuristics offer a high-quality solution in a short period of time for real-world situations; they are a fascinating field of research that has made significant advances in solving problems. Bio-inspired Swarm Intelligent (SI) algorithm is represented in different studies' umbrellas, where inspiration and principles of biological evolution develop a new way and robust techniques in computing. The paper's primary purpose is to apply the Firefly Algorithm process in scheduling. The study experimented and tested the efficiency of the developed objective function based on the scheduling policy of RLMH. The experiment focused on the five different iterations and two values for attractiveness. Based on the findings that FA generates different results with different values of attractiveness and iterations. Comparing attractiveness shows a significant improvement in β =2 in generating best solutions, but not the fireflies' movements and time execution. The experiment achieved 66.37% of the objective function.