Multi-strategy Improved Dung Beetle Algorithm
ZHAO Xin
XU Tianqi
Abstract：This paper introduces a new dung beetle algorithm developed in 2023,but the new algorithm also has its shortcom-ings,such as uneven initial population,easy to fall into local optimization,insufficient population diversity,and inaccurate conver-gence.Based on these problems,three improvement schemes,Singer chaotic mapping initial population location,variable spiral search strategy and Levy flight strategy,are proposed,and eight standard test functions are used to conduct simulation experiments and compare with GWO,SSA,WOA,NGO and the original DBO(Dung Beetle Algorithm).The simulation results show that after optimization and improvement,HDBO(Improved Dung Beetle Algorithm)has obvious advantages in terms of stability and conver-gence.
Keywords：dung beetle algorithmvariable spiral search strategystabilityastringency
Publication Date：2025-12-20
Online Publishing Date：2026-03-23(First online date of this platform, not the publication date of the document)
Pages：6( 112-117 )