An Improved Cuckoo Search Algorithm Utilizing Nonlinear Inertia Weight and Differential Evolution for Function Optimization Problem

This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and differential evolution algorithm (WCSDE) to overcome the shortcomings of the CS algorithm, such as low convergence accuracy, lack of information exchange within the population, and inadequate local s...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Cheng-Xu Zhang, Kai-Qing Zhou, Shao-Qiang Ye, Azlan Mohd Zain
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2021-01-01
主題:	Cuckoo search algorithm differential evolution algorithm nonlinear inertia weight adaptive adjustment strategy function optimization
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9627121/