Hybrid Firefly Algorithm with Rao Algorithm for Optimization Problems
Sakkayaphop Pravesjit, Krittika Kantawong, Duangjai Jitkongchuen · 2023
This paper proposes an improvement of firefly algorithm for optimization problems. In this study, the rao algorithm was applied in crossover and mutation operators instead of procedures of moving firefly i towards j. The algorithm was tested on six benchmark problems and compared with differential evolution (DE), JDE self-adaptive algorithm, and intersection mutation differential evolution (IMDE) algorithm. The computation results illustrated that the proposed algorithm can produce optimal solutions for two of six functions. The proposed algorithm has provided the best results compared to the other three algorithms. The findings prove that the algorithm should be improved in this direction and show that the algorithm produces several solutions obtained by the previously published methods, especially for the continuous step function, the multimodal function and the discontinuous step function.