Double-coded dynamic breeding based genetic clustering algorithm and its application in customized battery grouping
WANG Zi-yun
SHI Wei-jie
WANG Yan
JI Zhi-cheng
Abstract：A genetic clustering algorithm based on double coding dynamic cultivation is proposed,which encodes clustering categories and cluster centers at the same time,introduces the idea of dynamic cultivation,dynamically adjusts the cross object and mutation direction,increases micro-variation and thus increases population diversity.It solves the problem of slow convergence and single population in the initial stage of traditional genetic algorithm,and improves the ability of the algorithm to jump out of the local optimum in the later stage.At the same time,the convergence of the double-coded dynamic breeding genetic clustering algorithm is analyzed.Finally,this paper takes the battery customized combination as an application case and verifies that the algorithm is effective in solving the problem of customized matching of power battery,as well as its superiority in convergence speed and global search accuracy.
Keywords：double-codeddynamic breedinggenetic clusteringcustomized battery grouping
Publication Date：2025-01-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 118-126 )