A novel particle swarm optimization algorithm with Levy flight
This paper proposes a new approach for solving continuous optimization problems. The proposed approach is a combination of particle swarm optimization (PSO) and Levy flight (LFPSO). The performance and accuracy of the LFPSO are examined on numerical benchmark functions especially multimodal functions. The results obtained by LFPSO show that the LFPSO is more effective than state-of-the-art PSO (SPSO). In addition, to evaluate achievement of the proposed method, the LFPSO algorithm is compared the other PSO variants and other methods. The LFPSO outperforms the PSO variants and other algorithms and it is closely successful with the ABC algorithm.
particle swarm optimization optimization levy flight levy distribution