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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主要な著者: | Zhang, Cheng Xu, Zhou, Kai Qing, Ye, Shao Qiang, Mohd. Zain, Azlan |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2021
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/95752/1/AzlanMohdZain2021_AnImprovedCuckooSearchAlgorithm.pdf http://eprints.utm.my/id/eprint/95752/ http://dx.doi.org/10.1109/ACCESS.2021.3130640 |
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