计算机与数字工程2023，Vol.51Issue(10)：2246-2250,2256,6.DOI:10.3969/j.issn.1672-9722.2023.10.006
一种改进的郊狼优化算法
An Improvement Coyote Optimization Algorithm
黄昭 1代永强1
作者信息
- 1. 甘肃农业大学信息科学技术学院 兰州 730070
- 折叠
摘要
Abstract
The coyote optimization algorithm is a new type of swarm intelligence optimization algorithm proposed in recent years.This algorithm has defects such as easy to fall into local optimal and slow convergence speed when dealing with complex opti-mization problems.This article proposes a chaotic global coyote optimization algorithm by introducing a chaotic optimization strategy and a global-best guidance coyote strategy,which strengthens the global search ability and robustness of the coyote population,and further improves the convergence accuracy and convergence speed of the algorithm.Compared with other algorithm in the test func-tion optimization results,the algorithm is more powerful global exploration ability and better convergence accuracy.关键词
郊狼优化算法/混沌优化/全局头狼Key words
coyote optimization algorithm/chaos optimization/global-best分类
信息技术与安全科学引用本文复制引用
黄昭,代永强..一种改进的郊狼优化算法[J].计算机与数字工程,2023,51(10):2246-2250,2256,6.
