Computer and Modernization ›› 2022, Vol. 0 ›› Issue (05): 40-45.

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Co-fly Immune Optimization Algorithm Based on Innate Immune Mechanism of Fruit-fly

  

  1. (1. Qiannan Medical College for Nationalities, Duyun 558000, China; 
    2. School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China;
    3. Key Laboratory of Complex Systems and Intelligent Computing, Qiannan Normal University for Nationalities, Duyun 558000, China; 
    4. School of Computer and Information, Qiannan Nomal University for Nationalities, Duyun 558000, China)

  • Online:2022-06-08 Published:2022-06-08

Abstract: Based on the simple and effective innate immune response mechanism of fruit-fly, a collaborative optimization algorithm of fruit-fly’s immune is discussed. The synergistic immune response mechanism of melanization, cellular immunity and humoral immunity is used to design the population division and subgroup evolution in this algorithm. The algorithm has the merits of structural simplicity, the balance of internal and external circulation and the collaborative design are induced to ensure the optimization effect and efficiency of the algorithm. Comparative numerical results show that the algorithm has obvious advantages in search ability, search efficiency and high-dimensional functions optimizationand so on.

Key words: fruit-fly optimization, innate immune, co-optimization, fruit-fly immune system, high dimensional function