Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 119-123.doi: 10.11896/JsJkx.190400036

• Artificial Intelligence • Previous Articles     Next Articles

Segment Weighted Cuckoo Algorithm and Its Application

ZANG Rui and LIU Xiao-xiao   

  1. Department of Mathematics,Northeast Forestry University,Harbin 150040,China
  • Published:2020-07-07
  • About author:ZANG Rui, born in 1977, associate professor.His main research interests include optimization theory and algorithm.
    LIU Xiao-xiao, born in 1994, master.Her main research interests include optimization theory and algorithm.
  • Supported by:
    This work was supported by the Fundamental Research Found of the Central Universities (DLO9BB40).

Abstract: In order to solve the coordination problem between cuckoo local search and global search,improve the convergence speed in the later stage,and search the segmentation process of the algorithm,an improved cuckoo algorithm is proposed by introducing a dynamic adaptive step control variable and the corresponding segment weighted position update formula.The improved algorithm is verified by selecting 12 classical constrained optimization problems and some structural optimization design problems.The research results show that,compared with other algorithms,this algorithm is more efficient for most of the above problems.

Key words: Cuckoo algorithm, Dynamic adaptive step control variable, Penalty function method, Structural optimization design

CLC Number: 

  • O22
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