HYBRID GRASSHOPPER OPTIMIZATION ALGORITHM INCORPORATING WHALE OPTIMIZATION ALGORITHM

被引：0

作者：

Liu, Wei ^{[1
]}

Han, Guangyu ^{[1
]}

Li, Tong ^{[1
]}

Ren, Tengteng ^{[1
]}

Yan, Wenlv ^{[1
]}

机构：

[1] Shenyang Ligong Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2024年 / 86卷 / 02期

关键词：

Grasshopper optimization algorithm; Whale optimization algorithm; Logistic chaotic maps; Levy fight;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to address the issues with the original grasshopper optimization algorithm, this work offers a hybrid grasshopper optimization algorithm (WOGOA). First, the initial population of grasshoppers was mapped by Logistic mapping. Second, the parameter c was changed, and the nonlinear weight was added. Finally, Levy flight was integrated into the spiral bubble net hunting behavior of the whale optimization algorithm and then introduced into the grasshopper optimization algorithm as a whole. The algorithm was benchmarked on 9 test functions. According to the experimental data, WOGOA can deliver outcomes that are highly competitive in terms of convergence ability and accuracy.

引用

页码：127 / 140

页数：14

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