Electronic Science and Technology ›› 2022, Vol. 35 ›› Issue (2): 40-45.doi: 10.16180/j.cnki.issn1007-7820.2022.02.007

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Optimization of Firefly Algorithm Based on Continuous Space

LIU Chenmin,WANG Yagang   

  1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2020-09-30 Online:2022-02-15 Published:2022-02-24
  • Supported by:
    National Natural Science Foundation of China(61074087);National Natural Science Foundation of China(61703277)


In view of the problem that the firefly algorithm has poor accuracy in global optimization and is easy to fall into local optimum, an optimized firefly algorithm is proposed in this study. The discrete continuous method is used to make the traditional firefly algorithm space continuous. On the basis of the traditional firefly algorithm, a new attractiveness calculation formula and corresponding update strategy are defined to realize the spatial continuity of the discrete problems to be sought and improve the corresponding movement mode of the firefly monomer. Experimental simulation results prove the effectiveness of the improved algorithm. Besides, the improved firefly algorithm and its application scope are summarized, and the future research direction is pointed out in the proposed study.

Key words: firefly algorithm, algorithm principle, continuous space, function optimization, parameter identification, the global optimal, MATLAB, optimization algorith

CLC Number: 

  • TP301.6