An Improvement Coyote Optimization Algorithm
HUANG Zhao
DAI Yongqiang
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.
Keywords：coyote optimization algorithmchaos optimizationglobal-best
Publication Date：2023-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2246-2250,2256 )