Dung Beetle Optimization Algorithm Guided by Improved Sine Algorithm

被引：0
作者：
Pan, Jincheng [1 ]
Li, Shaobo [1 ,2 ]
Zhou, Peng [1 ]
Yang, Guilin [1 ]
Lyu, Dongchao [1 ]
机构：
[1] School of Mechanical Engineering, Guizhou University, Guiyang
[2] State Key Laboratory of Public Big Data, Guizhou University, Guiyang
来源：
Computer Engineering and Applications | 2023年 / 59卷 / 22期
关键词：
benchmark test function; dung beetle optimization algorithm; engineering design problems; improved sine algorithm; initialize chaotic map; MSADBO; mutation operator;
D O I：
10.3778/j.issn.1002-8331.2305-0021
中图分类号：
学科分类号：
摘要：
Dung beetle optimizer（DBO）is an effective meta-heuristic algorithm. Dung beetle optimization algorithm has the characteristics of strong searching ability and fast convergence speed. But at the same time, it also has the disadvantages of unbalanced global exploration and local exploitation ability, easy to fall into local optimization, and weak global search ability. Therefore, an improved DBO algorithm is proposed to solve the global optimization problem, named MSADBO. Inspired by the improved sine algorithm（MSA）, this paper endows dung beetles with global exploration and local development capabilities of MSA to expand their search scope, improve their global search capability, and reduce the possibility of falling into local optimal. Chaotic mapping initialization and mutation operator are added to the perturbation. In order to verify the effectiveness of the proposed MSADBO algorithm, 23 benchmark functions are tested and compared with other well-known meta-heuristic algorithms. The results show that the algorithm has good performance. Finally, in order to further illustrate the practical application potential of MSADBO algorithm, the algorithm is successfully applied to three engineering design problems. Experimental results show that the proposed MSADBO algorithm can deal with practical application problems effectively. © 2023 The Author(s).
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页码：92 / 110
页数：18
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